Systems and methods for orthosis design

ABSTRACT

The present disclosure is related to systems and methods for orthosis design. The method includes obtaining a three-dimensional (3D) model associated with a subject. The method includes obtaining one or more reference images associated with the subject. The method includes determining, based on the 3D model and the one or more reference images, orthosis design data for the subject. The orthosis design data may be used to determine an orthosis for the subject.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.16/829,208, filed on Mar. 25, 2020, which claims priority of ChinesePatent Application No. 201911375163.7, filed on Dec. 27, 2019, ChinesePatent Application No. 201910590669.3, filed on Jul. 2, 2019, ChinesePatent Application No. 202010140173.9, filed on Mar. 3, 2020, andChinese Patent Application No. 201911342643.3, filed on Dec. 23, 2019,the contents of each of which are hereby incorporated by reference.

TECHNICAL FIELD

The present disclosure generally relates to medical devices, and inparticular, to systems and methods for orthosis design.

BACKGROUND

Orthoses are externally applied devices for modifying or correcting thestructural and functional characteristics of the neuromuscular andskeletal systems. These devices are widely used for subjects (e.g., aperson or an animal) having a fracture, a dislocation, or a physicaldeformity of the spine (e.g., scoliosis). A three-dimensional (3D)orthosis model for a subject can be designed based on image data of thesubject, and an orthosis may be manufactured (e.g., by 3D printing)based on the 3D orthosis model to meet correction needs of the subject.Thus, it is desirable to design precisely accurate 3D orthosis modelsfor subjects.

During an orthosis design process, sometimes a 3D orthosis model needsto be edited (e.g., split) to generate a desired shape. For example, a3D orthosis model can be split according to split curve having a smoothboundary to generate a 3D orthosis sub-model having a smooth shape.However, existing model splitting algorithms often produces a roughboundary (e.g., a sawtooth boundary), reducing the quality of the 3Dorthosis model. Thus, it is desirable to provide systems and methods forsplitting an orthosis model smoothly.

During the orthosis design process, a large amount of data (e.g.,orthosis design data) is generated. It would be crucial, therefore, tostore and transfer such data so that users can access and analyze thedata timely and efficiently. In addition, in some cases, a number ofusers (e.g., a doctor, an orthosis designer, a 3D print manufacturer)need to design and/or print an orthosis for a subject collaboratively.However, the existing orthosis design systems are often based on aclient/server (C/S) architecture, which only supports local storage,resulting in reduced efficiency for multi-user collaborative design anddocking with a third-party 3D print manufacturer. Furthermore, theexisting orthosis design systems often do not have a cross-platform andrapid deployment function, leading to low response speed and instabilityin a high concurrency environment. Therefore, it is desirable to provideeffective systems and methods for orthosis design.

SUMMARY

According to an aspect of the present disclosure, a method for orthosisdesign may be implemented on a computing device having one or moreprocessors and one or more storage devices. The method may includeobtaining a three-dimensional (3D) model associated with a subject. Themethod may include obtaining one or more reference images associatedwith the subject. The method may include determining, based on the 3Dmodel and the one or more reference images, orthosis design data for thesubject. The orthosis design data may be used to determine an orthosisfor the subject.

In some embodiments, the method may include obtaining the 3D modelassociated with the subject from a 3D camera device.

In some embodiments, the method may include obtaining image dataassociated with the subject. The method may include determining the 3Dmodel associated with the subject based on the image data associatedwith the subject.

In some embodiments, the method may include determining a target area byperforming an image segmentation operation on the image data associatedwith the subject. The method may include extracting body surface dataassociated with the target area from the image data associated with thesubject. The method may include generating a plurality of meshes of the3D model based on the body surface data associated with the target area.

In some embodiments, the one or more reference images may be digitalradiography (DR) images.

In some embodiments, the method may include comparing the 3D model withthe one or more reference images. The method may include determining theorthosis design data by modifying the 3D model based on a comparisonresult.

In some embodiments, the orthosis design data for the subject mayinclude a processing result determined by performing at least one of amesh deformation operation, a mesh smoothing operation, a mesh divisionoperation, or a mesh splitting operation on the 3D model.

In some embodiments, the method may include determining, based on the 3Dmodel and the orthosis design data, force data of at least one region ofthe subject after wearing an orthosis. The method may include altering,based on the force data of the at least one region of the subject, theorthosis design data.

In some embodiments, the method may include determining housing designdata associated with a housing of the orthosis by performing athickness-adjustment operation on the orthosis design data.

According to another aspect of the present disclosure, a method forsplitting a 3D model may be implemented on a computing device having oneor more processors and one or more storage devices. The method mayinclude determining a spline curve associated with a 3D model. Thespline curve may be generated based on a plurality of first coordinatesinput by a user in a screen coordinate system. The spline curve mayinclude a plurality of second coordinates in a model coordinate system.For each second coordinate of the plurality of second coordinates, themethod may include determining a center point corresponding to thesecond coordinate. The method may include determining a link lineconnecting the center point and the corresponding second coordinate. Themethod may include determining a plurality of boundary points along adirection of the link line. The method may include generating a splitsurface based on all the boundary points corresponding to the pluralityof second coordinates.

In some embodiments, the method may include splitting the 3D model basedon the split surface.

In some embodiments, the method may include obtaining the plurality offirst coordinates input by the user. The method may include determininga plurality of third coordinates by performing a spline interpolationoperation on the plurality of first coordinates. The method may includedetermining the plurality of second coordinates by projecting theplurality of third coordinates on the 3D model. The method may includedetermining the spline curve by connecting the plurality of secondcoordinates.

In some embodiments, the spline interpolation operation may include atleast one of a cubic B-spline interpolation, a Bezier curveinterpolation, or a catmull-rom curve interpolation.

In some embodiments, the plurality of boundary points may include aninner boundary point and an outer boundary point. The inner boundarypoint may be located inside the 3D model. The outer boundary point maybe located outside the 3D model. For the each second coordinate of theplurality of second coordinates, the method may include determining theinner boundary point by extending the second coordinate to the inside ofthe 3D model along the direction of the link line. The method mayinclude determining the outer boundary point by extending the secondcoordinate to the outside of the 3D model along the direction of thelink line.

In some embodiments, the method may include generating a plurality ofsplit sub-surfaces by connecting the inner boundary points and the outerboundary points corresponding to the plurality of second coordinates.The method may include generating the split surface by combining theplurality of split sub-surfaces.

In some embodiments, the method may include transforming the pluralityof third coordinates in the screen coordinate system to a plurality offourth coordinates in a view coordinate system. The method may includetransforming the plurality of fourth coordinates in the view coordinatesystem to a plurality of fifth coordinates in a camera coordinatesystem. The method may include transforming the plurality of fifthcoordinates in the camera coordinate system to a plurality of sixthcoordinates in a world coordinate system. The method may includetransforming the plurality of sixth coordinates in the world coordinatesystem to the plurality of second coordinates in the model coordinatesystem.

In some embodiments, prior to obtaining the plurality of firstcoordinates, the method may include obtaining data associated with the3D model. The method may include determining an initial transformationmatrix between the model coordinate system and the world coordinatesystem. The initial transformation matrix may be used to display a frontview of the 3D model in the world coordinate system. The method mayinclude rendering the 3D model based on the data associated with the 3Dmodel and the initial transformation matrix.

In some embodiments, the method may include generating at least twosub-models by splitting the 3D model based on the split surface. Themethod may include displaying the at least two sub-models on a terminaldevice associated with the user.

According to another aspect of the present disclosure, a system fororthosis design may include at least one storage device storing a set ofinstructions, and at least one processor in communication with the atleast one storage device. When executing the stored set of instructions,the at least one processor may cause the system to obtain athree-dimensional (3D) model associated with a subject. The at least oneprocessor may cause the system to obtain one or more reference imagesassociated with the subject. The at least one processor may cause thesystem to determine, based on the 3D model and the one or more referenceimages, orthosis design data for the subject. The orthosis design datamay be used to determine an orthosis for the subject.

In some embodiments, the at least one processor may cause the system toobtain the 3D model associated with the subject from a 3D camera device.

In some embodiments, the at least one processor may cause the system todetermine the 3D model associated with the subject based on the imagedata associated with the subject.

In some embodiments, the at least one processor may cause the system todetermine a target area by performing an image segmentation operation onthe image data associated with the subject. The at least one processormay cause the system to extract body surface data associated with thetarget area from the image data associated with the subject. The atleast one processor may cause the system to generate a plurality ofmeshes of the 3D model based on the body surface data associated withthe target area.

In some embodiments, the at least one processor may cause the system tocompare the 3D model with the one or more reference images. The at leastone processor may cause the system to determine the orthosis design databy modifying the 3D model based on a comparison result.

In some embodiments, the at least one processor may cause the system todetermine, based on the 3D model and the orthosis design data, forcedata of at least one region of the subject after wearing an orthosis.The at least one processor may cause the system to alter, based on theforce data of the at least one region of the subject, the orthosisdesign data.

In some embodiments, the at least one processor may cause the system todetermine housing design data associated with a housing of the orthosisby performing a thickness-adjustment operation on the orthosis designdata.

In some embodiments, the system may include at least one data obtainingdevice configured to obtain data associated with the subject. The dataassociated with the subject may include at least one of the image dataassociated with the subject, the 3D model associated with the subject,or one or more reference images associated with the subject.

In some embodiments, the system may include at least one first terminaldevice configured to import the data associated with the subject.

In some embodiments, the system may include the at least one secondterminal device configured to send a request for orthosis design.

In some embodiments, the at least one processor may include a pluralityof processing devices. The system may include a data interactionequipment, configured to transmit the request for orthosis designobtained from the at least one second terminal device to at least oneprocessing device of the plurality of processing devices, according to aload balancing mechanism.

In some embodiments, the data interaction equipment may include a firstload balancing device, a data interaction device cluster including aplurality of data interaction devices, and a second load balancingdevice. The first load balancing device may communicate with the atleast one first terminal device and the at least one second terminaldevice, and may be configured to transmit data from the at least onefirst terminal device and the at least one second terminal device to atleast one data interaction device of the data interaction device clusteraccording to the load balancing mechanism. The at least one datainteraction device may be configured to determine the request fororthosis design based on the data obtained from the at least one firstterminal device and the at least one second terminal device. The secondload balancing device may communicate with the data interaction devicecluster, and may be configured to transmit the request for orthosisdesign to the at least one data processing device of the data processingdevice cluster, according to the load balancing mechanism

In some embodiments, the at least one first terminal device and the atleast one second terminal device may communicate with the datainteraction device via a browser.

In some embodiments, the system may be based on ASP.NET Core technology.

In some embodiments, the data interaction equipment may be a reverseproxy.

In some embodiments, the at least one second terminal device may includea plurality of second terminal devices associated with a plurality ofusers. The plurality of second terminal devices may be configured tosend a plurality of requests for determining the orthosis cooperatively.

In some embodiments, the system may include a 3D print device configuredto print the orthosis based on the orthosis design data.

Additional features will be set forth in part in the description whichfollows, and in part will become apparent to those skilled in the artupon examination of the following and the accompanying drawings or maybe learned by production or operation of the examples. The features ofthe present disclosure may be realized and attained by practice or useof various aspects of the methodologies, instrumentalities, andcombinations set forth in the detailed examples discussed below.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is further described in terms of exemplaryembodiments. These exemplary embodiments are described in detail withreference to the drawings. These embodiments are non-limiting exemplaryembodiments, in which like reference numerals represent similarstructures throughout the several views of the drawings, and wherein:

FIG. 1 is a schematic diagram illustrating an exemplary orthosis designsystem according to some embodiments of the present disclosure;

FIG. 2 is a schematic diagram illustrating hardware and/or softwarecomponents of an exemplary computing device according to someembodiments of the present disclosure;

FIG. 3 is a schematic diagram illustrating hardware and/or softwarecomponents of a mobile device according to some embodiments of thepresent disclosure;

FIG. 4 is a block diagram illustrating an exemplary processing deviceaccording to some embodiments of the present disclosure;

FIG. 5 is a flowchart illustrating an exemplary process for designing anorthosis according to some embodiments of the present disclosure;

FIG. 6 is a flowchart illustrating an exemplary process for obtaining a3D model associated with a subject according to some embodiments of thepresent disclosure;

FIG. 7 is a flowchart illustrating an exemplary process for alteringorthosis design data according to some embodiments of the presentdisclosure;

FIG. 8 illustrates an exemplary image of a reference image superimposedon a 3D model according to some embodiments of the present disclosure;

FIG. 9 is a schematic diagram illustrating a housing of an orthosisaccording to some embodiments of the present disclosure;

FIG. 10 is a block diagram illustrating an exemplary orthosis designdata determination module according to some embodiments of the presentdisclosure;

FIG. 11 is a flowchart illustrating an exemplary process for splitting a3D model according to some embodiments of the present disclosure;

FIG. 12 is a flowchart illustrating an exemplary process for determininga spline curve according to some embodiments of the present disclosure;

FIG. 13 is a flowchart illustrating an exemplary process for determininga plurality of second coordinates on a spline curve according to someembodiments of the present disclosure;

FIG. 14 is a schematic diagram illustrating an exemplary process fordetermining a center point according to some embodiments of the presentdisclosure;

FIG. 15A is a schematic diagram illustrating an exemplary split surfaceaccording to some embodiments of the present disclosure;

FIG. 15B is an enlarged view of a region A shown in FIG. 15A accordingto some embodiments of the present disclosure;

FIG. 16 is a schematic diagram illustrating exemplary 3D sub-modelsaccording to some embodiments of the present disclosure;

FIG. 17 is a block diagram illustrating an exemplary data managementsystem according to some embodiments of the present disclosure;

FIG. 18 is a flowchart illustrating an exemplary process for importingdata associated with a subject according to some embodiments of thepresent disclosure;

FIG. 19 is a flowchart illustrating an exemplary process for storingdata associated with an orthosis according to some embodiments of thepresent disclosure;

FIG. 20 is a flowchart illustrating an exemplary process fortransmitting data to a 3D print database according to some embodimentsof the present disclosure;

FIG. 21 is a schematic diagram illustrating an exemplary cloud designsystem according to some embodiments of the present disclosure;

FIG. 22 is a schematic diagram illustrating an exemplary orthosis designsystem according to some embodiments of the present disclosure;

FIG. 23 is a schematic diagram illustrating an exemplary user interfacefor displaying a patient list according to some embodiments of thepresent disclosure; and

FIG. 24 is a schematic diagram illustrating an exemplary user interfacefor displaying data associated with a subject in a bookmark modeaccording to some embodiments of the present disclosure.

DETAILED DESCRIPTION

The following description is presented to enable any person skilled inthe art to make and use the present disclosure and is provided in thecontext of a particular application and its requirements. Variousmodifications to the disclosed embodiments will be readily apparent tothose skilled in the art, and the general principles defined herein maybe applied to other embodiments and applications without departing fromthe spirit and scope of the present disclosure. Thus, the presentdisclosure is not limited to the embodiments shown but is to be accordedthe widest scope consistent with the claims.

The terminology used herein is for the purpose of describing particularexample embodiments only and is not intended to be limiting. As usedherein, the singular forms “a,” “an,” and “the” may be intended toinclude the plural forms as well, unless the context clearly indicatesotherwise. It will be further understood that the terms “comprises,”“comprising,” “includes,” and/or “including” when used in thisdisclosure, specify the presence of stated features, integers, steps,operations, elements, and/or components, but do not preclude thepresence or addition of one or more other features, integers, steps,operations, elements, components, and/or groups thereof.

These and other features, and characteristics of the present disclosure,as well as the methods of operations and functions of the relatedelements of structure and the combination of parts and economies ofmanufacture, may become more apparent upon consideration of thefollowing description with reference to the accompanying drawing(s), allof which form part of this specification. It is to be expresslyunderstood, however, that the drawing(s) is for the purpose ofillustration and description only and are not intended to limit thescope of the present disclosure. It is understood that the drawings arenot to scale.

The flowcharts used in the present disclosure illustrate operations thatsystems implement according to some embodiments of the presentdisclosure. It is to be expressly understood, the operations of theflowcharts may be implemented not in order. Conversely, the operationsmay be implemented in an inverted order, or simultaneously. Moreover,one or more other operations may be added to the flowcharts. One or moreoperations may be removed from the flowcharts.

An aspect of the present disclosure relates to methods and systems fororthosis design. According to some embodiments of the presentdisclosure, a processing device may obtain a three-dimensional (3D)model associated with a subject. The processing device may obtain one ormore reference images (e.g., a digital radiography image) associatedwith the subject. The processing device may determine, based on the 3Dmodel and the one or more reference images, orthosis design data for thesubject. The orthosis design data may be used to determine an orthosisfor the subject. In some embodiments, the processing device may comparethe 3D model with the one or more reference images. The processingdevice may determine the orthosis design data by modifying (e.g.,splitting) the 3D model based on a comparison result. Accordingly,orthosis design data for a subject may be generated based on one or morereference images of the subject and a 3D model of the subject. Anorthosis generated based on the orthosis design data may meet correctionneeds of the subject.

Another aspect of the present disclosure relates to methods and systemsfor splitting a 3D model. The processing device may determine a splinecurve associated with a 3D model. The spline curve may be generatedbased on a plurality of first coordinates input by a user in a screencoordinate system. The spline curve may include a plurality of secondcoordinates in a model coordinate system. For each second coordinate ofthe plurality of second coordinates, the processing device may determinea center point corresponding to the second coordinate. The processingdevice may determine a link line connecting the center point and thecorresponding second coordinate. The processing device may determine aplurality of boundary points along a direction of the link line. Theprocessing device may generate a split surface based on all the boundarypoints corresponding to the plurality of second coordinates.Accordingly, a method for determining a split surface based on aplurality of dynamic center points may be provided. The problems ofsplit surface self-intersections and a non-smoothing boundary of thesplit surface caused by an irregular body surface of the 3D model may beavoided.

Another aspect of the present disclosure related to methods and systemsfor data management in an orthosis design system. The data managementsystem may include an importing module, a storage module, and a printingmodule. The importing module (e.g., a terminal device associated with adoctor) may import data associated with a subject. The storage module(e.g., a terminal device associated with an orthosis designer) may storedata associated with an orthosis during an orthosis design process. Theprinting module (e.g., a terminal device associated with a 3D printmanufacturer) may print the orthosis based on the data associated withthe subject and/or the data associated with the orthosis. Accordingly, aplurality of users (e.g., a doctor, an orthosis designer, a 3D printmanufacturer) of the orthosis design system 100 may design and/or printan orthosis for a subject via a plurality of browsers on a plurality ofterminal devices collaboratively. The orthosis design and print processmay be simplified, and the orthosis production efficiency may beimproved.

FIG. 1 is a schematic diagram illustrating an exemplary orthosis designsystem 100 according to some embodiments of the present disclosure. Theorthosis design system 100 may include a data obtaining device 110, anetwork 120, at least one terminal device 130, a server 144, a datainteraction equipment 140, and a storage device 150. The server 144 andthe data interaction equipment 140 may also be referred to as a clouddesign system. The components of the orthosis design system 100 may beconnected in one or more of various ways. Merely by way of example, asillustrated in FIG. 1 , the data obtaining device 110 may be connectedto the storage device 150 directly as indicated by the bi-directionalarrow in dotted lines linking the data obtaining device 110 and thestorage device 150, or through the network 120. As another example, theterminal device 130 may be connected to the storage device 150 directlyas indicated by the bi-directional arrow in dotted lines linking theterminal device 130 and the storage device 150, or through the network120. As another example, the server 144 may be connected to the dataobtaining device 110 directly as indicated by the bi-directional arrowin dotted lines linking the server 144 and data obtaining device 110, orthrough the network 120. As still another example, the at least oneterminal device 130 may be connected to the server 144 via the network120.

The data obtaining device 110 may be configured to acquire image datarelating to at least one part of a subject. The image data relating toat least one part of a subject may include an image (e.g., an imageslice), projection data, or a combination thereof. For example, the dataobtaining device 110 may scan a portion of the subject to be correctedto obtain scanned image data or a 3D model of the portion of the subjectto be corrected. In some embodiments, the image data may be atwo-dimensional (2D) imaging data, a three-dimensional (3D) imagingdata, a four-dimensional (4D) imaging data, or the like, or anycombination thereof. In some embodiments, the image data may include amagnetic resonance imaging (MRI) image, a computerized tomography (CT)image, a direct digital X-ray photography image, a computer X-ray image,or the like, or any combination thereof.

The subject may be biological or non-biological. In some embodiments,the subject may include a patient, a man-made object, etc. In someembodiments, the subject may include a specific portion, an organ,and/or tissue of the patient. For example, the subject may include thehead, the neck, the thorax, the heart, the stomach, a blood vessel, softtissue, a tumor, nodules, or the like, or any combination thereof.

In some embodiments, the data obtaining device 110 may include a singlemodality imaging device. For example, the data obtaining device 110 mayinclude a positron emission tomography (PET) device, a single-photonemission computed tomography (SPECT) device, a magnetic resonanceimaging (MRI) device, a computed tomography (CT) device, an ultrasound(US) device, a X-ray imaging device (e.g., a suspended X-ray imagingdevice, a digital radiography (DR) scanner), or the like, or anycombination thereof. In some embodiments, the data obtaining device 110may include a multi-modality imaging device. Exemplary multi-modalityimaging devices may include a PET-CT device, a PET-MRI device, or thelike, or a combination thereof.

In some embodiments, the data obtaining device 110 may be a 3D camera(e.g., a 3D scanner). The 3D camera may obtain a 3D model of thesubject. In some embodiments, the data obtaining device 110 may beconfigured to acquire one or more reference images of the subject. Insome embodiments, the reference image may include a 2D digitalradiography image (e.g., a DR plain film).

The network 120 may include any suitable network that can facilitate theexchange of information and/or data for the orthosis design system 100.In some embodiments, one or more components of the orthosis designsystem 100 (e.g., the data obtaining device 110, the at least oneterminal device 130, the server 144, the data interaction equipment 140,the storage device 150, etc.) may communicate information and/or datawith one or more other components of the orthosis design system 100 viathe network 120. For example, the processing device 114 may obtain imagedata (e.g., one or more reference images) and/or a 3D model of a subjectfrom the data obtaining device via the network 120. As another example,the processing device 114 may obtain user instruction(s) from theterminal device 130 via the network 120. The network 120 may be and/orinclude a public network (e.g., the Internet), a private network (e.g.,a local area network (LAN), a wide area network (WAN)), etc.), a wirednetwork (e.g., an Ethernet network), a wireless network (e.g., an 802.11network, a Wi-Fi network, etc.), a cellular network (e.g., a Long TermEvolution (LTE) network), a frame relay network, a virtual privatenetwork (VPN), a satellite network, a telephone network, routers, hubs,switches, server computers, and/or any combination thereof. For example,the network 120 may include a cable network, a wireline network, afiber-optic network, a telecommunications network, an intranet, awireless local area network (WLAN), a metropolitan area network (MAN), apublic telephone switched network (PSTN), a Bluetooth™ network, aZigBee™ network, a near field communication (NFC) network, or the like,or any combination thereof. In some embodiments, the network 120 mayinclude one or more network access points. For example, the network 120may include wired and/or wireless network access points such as basestations and/or internet exchange points through which one or morecomponents of the orthosis design system 100 may be connected to thenetwork 120 to exchange data and/or information.

The terminal device 130 may communicate and/or connect with the dataobtaining device 110, the server 144, the data interaction equipment140, and/or the storage device 150. For example, at least one terminaldevice 130 may obtain orthosis design data from the server 144 fordesign an orthosis. As another example, the at least one terminal device130 may obtain image data acquired by the data obtaining device 110, andsend the image data to the data interaction equipment 140 and the server144 for processing. In some embodiments, the at least one terminaldevice 130 may include a mobile device 131, a tablet computer 132, alaptop computer 133, or the like, or any combination thereof. Forexample, the mobile device 131 may include a mobile phone, a personaldigital assistant (PDA), a gaming device, a navigation device, or thelike, or any combination thereof. In some embodiments, the at least oneterminal device 130 may include an input device, an output device, orthe like. The input devices may include alphanumeric and other keys. Theinput device may use keyboard input, touch screen (for example, withtactile or haptic feedback) input, voice input, eye tracking input,brain monitoring system input, or any other similar input mechanism. Theinput information received through the input device may be transmittedto the cloud design system via a bus for further processing. Other typesof input devices may include cursor control devices, such as a mouse, atrajectory ball, or a cursor direction key. The output device mayinclude a display, a speaker, a printer, etc. or any combinationthereof. In some embodiments, the at least one terminal device 130 maybe portion of the cloud design system. In some embodiments, the terminaldevice 130 may communicate with the data interaction equipment 140and/or the server 144 via a browser.

In some embodiments, the terminal device 130 may include one or morefirst terminal devices and one or more second terminal devices. Thefirst terminal device may be associated with a first type of user in theorthosis design system 100. For example, the first terminal device maybe associated with a doctor. The doctor may import data associated withthe subject to one or more storage device (e.g., the storage device 150)of the orthosis design system via the first terminal device. The dataassociated with the subject may include identification information ofthe subject (e.g., an identification (ID) number of the subject, a nameof the subject, the gender of the subject, the age of the subject, aportion of the subject to be corrected), image data associated with thesubject, a 3D model associated with the subject, a reference imageassociated with the subject, or the like, or any combination thereof.The second terminal device may be associated with a second type of userin the orthosis design system 100. For example, the second terminaldevice may be associated with an orthosis designer. The orthosisdesigner may send a request for orthosis design via the second terminaldevice. In some embodiments, a plurality of users associated with theplurality of terminal devices 130 may send a plurality of requests fordetermining an orthosis collaboratively. For example, a first terminaldevice associated with a first user is located in a first location. Asecond terminal device associated with a second user is located in asecond location. The first location may be different from the secondlocation. The first user and the second user may send requests fordesigning an orthosis to the data interaction equipment 140synchronously.

In some embodiments, the server 144 may be a single server or a servergroup. The server group may be centralized or distributed (e.g., theserver 144 may be a distributed system). For example, the server 144 mayinclude a plurality of servers, e.g., a server 144-1, a server 144-2, aserver 144-4, as illustrated in FIG. 21 . In some embodiments, theserver 144 may be local or remote. For example, the server 144 mayaccess information and/or data stored in the terminal device 130, thestorage device 150, the data obtaining device 110 via the network 120.As another example, the server 144 may be directly connected to theterminal device 130, the storage device 150, the data obtaining device110 to access stored information and/or data. In some embodiments, theserver 144 may be implemented on a cloud platform or an onboardcomputer. Merely by way of example, the cloud platform may include aprivate cloud, a public cloud, a hybrid cloud, a community cloud, adistributed cloud, an inter-cloud, a multi-cloud, or the like, or anycombination thereof. In some embodiments, the server 144 may beimplemented on a computing device 200 having one or more componentsillustrated in FIG. 2 in the present disclosure.

In some embodiments, the server 144 may include a processing device 114.

The processing device 114 may process information and/or data to performone or more functions described in the present disclosure. For example,the processing device 114 may obtain a 3D model associated with asubject. As another example, the processing device 114 may obtain one ormore reference images associated with a subject. As still anotherexample, the processing device 114 may determine, based on a 3D modeland one or more reference images, orthosis design data for a subject. Asstill another example, the processing device 114 may edit (e.g., split)a 3D model. As still another example, the processing device 114 mayinitialize a 3D model. As still another example, the processing device114 may determine a spline curve associated with a 3D model. As stillanother example, for each second coordinate of a plurality of secondcoordinates on a spline curve, the processing device 114 may determine acenter point corresponding to the second coordinate. As still anotherexample, the processing device 114 may determine a link line connectinga center point and a corresponding second coordinate. As still anotherexample, the processing device 114 may determine a plurality of boundarypoints along a direction of a link line. As still another example, theprocessing device 114 may generate a split surface based on all boundarypoints corresponding to a plurality of second coordinates. As stillanother example, the processing device 114 may split a 3D model based ona split surface.

In some embodiments, the processing device 114 may include one or moreprocessing engines (e.g., single-core processing engine(s) or multi-coreprocessor(s)). Merely by way of example, the processing device 114 mayinclude a central processing unit (CPU), an application-specificintegrated circuit (ASIC), an application-specific instruction-setprocessor (ASIP), a graphics processing unit (GPU), a physics processingunit (PPU), a digital signal processor (DSP), a field programmable gatearray (FPGA), a programmable logic device (PLD), a controller, amicrocontroller unit, a reduced instruction-set computer (RISC), amicroprocessor, or the like, or any combination thereof.

In some embodiments, the server 144 may be connected to the network 120to communicate with one or more components (e.g., the terminal device130, the storage device 150, the data obtaining device 110) of theorthosis design system 100. In some embodiments, the server 144 may bedirectly connected to or communicate with one or more components (e.g.,the terminal device 130, the storage device 150, and/or the dataobtaining device 110) of the orthosis design system 100.

The data interaction equipment 140 may be configured to transmit dataobtained from the terminal device 130 to the server 144. In someembodiments, the data interaction equipment 140 may transmit one or morerequests for orthosis design obtained from one or more terminal devices130 to one or more servers according to a load balancing mechanism. Insome embodiments, the data interaction equipment 140 may include a firstload balancing device, a data interaction device cluster including aplurality of data interaction devices, and a second load balancingdevice. More descriptions of the data interaction equipment 140 may befound elsewhere in the present disclosure (e.g., FIG. 21 anddescriptions thereof).

In some embodiments, the data interaction equipment 140 may be a reverseproxy. As used herein, a reverse proxy may refer to a type of proxyserver that retrieves resources on behalf of a client from one or moreservers. These resources are then returned to the client, appearing asif they originated from the proxy server itself. In some embodiments,the reverse proxy may include a nginx, a haproxy, or the like. Moredescriptions of the proxy server may be found elsewhere in the presentdisclosure (e.g., FIG. 22 and descriptions thereof).

The storage device 150 may store data, instructions, and/or any otherinformation. In some embodiments, the storage device 150 may store dataobtained from the data obtaining device 110, the terminal device 130,the processing device 114. In some embodiments, the storage device 150may store data and/or instructions that the processing device 114 mayexecute or use to perform exemplary methods described in the presentdisclosure. In some embodiments, the storage device 150 may include amass storage, removable storage, a volatile read-and-write memory, aread-only memory (ROM), or the like, or any combination thereof.Exemplary mass storage may include a magnetic disk, an optical disk, asolid-state drive, etc. Exemplary removable storage may include a flashdrive, a floppy disk, an optical disk, a memory card, a zip disk, amagnetic tape, etc. Exemplary volatile read-and-write memory may includea random access memory (RAM). Exemplary RAM may include a dynamic RAM(DRAM), a double date rate synchronous dynamic RAM (DDR SDRAM), a staticRAM (SRAM), a thyristor RAM (T-RAM), and a zero-capacitor RAM (Z-RAM),etc. Exemplary ROM may include a mask ROM (MROM), a programmable ROM(PROM), an erasable programmable ROM (EPROM), an electrically erasableprogrammable ROM (EEPROM), a compact disk ROM (CD-ROM), and a digitalversatile disk ROM, etc. In some embodiments, the storage device 150 maybe implemented on a cloud platform as described elsewhere in thedisclosure.

In some embodiments, the storage device 150 may be connected to thenetwork 120 to communicate with one or more other components in theorthosis design system 100 (e.g., the terminal device 130, the server144, the data obtaining device 110). At least one component in theorthosis design system 100 may access data or instructions stored in thestorage device 150 through the network 120. In some embodiments, thestorage device 150 may be portion of the cloud design system.

This description is intended to be illustrative, and not to limit thescope of the present disclosure. Many alternatives, modifications, andvariations will be apparent to those skilled in the art. The features,structures, methods, and other characteristics of the exemplaryembodiments described herein may be combined in various ways to obtainadditional and/or alternative exemplary embodiments. However, thosevariations and modifications do not depart the scope of the presentdisclosure.

In some embodiments, the orthosis design system 100 may be based on abrowser/server (B/S) architecture. The B/S architecture may run anapplication directly from an internet browser on any device that has abrowser (e.g., a laptop, a tablet, a smartphone). For example, a browsermay be installed on the terminal device 130. The user of the terminaldevice 130 may communicate with the server 144 via the browser. In someembodiments, a plurality of main functions of the orthosis design system100 may be implemented on the server 144. For example, the server 144may determine orthosis design data for a subject. As still anotherexample, the sever 144 may edit (e.g., split) a 3D model. In someembodiments, a plurality of relatively simple functions of the orthosisdesign system 100 may be implemented on the terminal device 130. Forexample, the terminal device 130 may obtain data associated with asubject (e.g., a 3D model of the subject, a reference image of thesubject). Accordingly, a computing load of the terminal device 130 maybe reduced. The maintenance and upgrade cost of the orthosis designsystem 100 may be reduced. The total cost of a user of the orthosisdesign system 100 may further be reduced.

In some embodiments, the orthosis design system 100 may be based onASP.NET Core technology. As used herein, ASP.NET Core may refer to across-platform, high-performance, open-source framework for buildingmodern, cloud-based, internet-connected applications. In someembodiments, the orthosis design system 100 may be developed on Windows,macOS, and/or Linux. In some embodiments, the orthosis design system 100may be deployed to cloud or on-premises. In some embodiments, theorthosis design system 100 may be hosted in internet informationservices (IIS), nginx, apache, docker, or the like. Accordingly, across-platform orthosis design system 100 may be developed.

In some embodiments, the orthosis design system 100 may include adatabase. In some embodiments, the database may include a medicalimaging information system. For example, the database may be a picturearchiving and communication system (PACS). The PACS may refer to amedical imaging technology which provides economical storage andconvenient access to images from multiple modalities (source machinetypes). For example, the PACS may store a plurality of images (e.g., aplurality of medical images) generated by a plurality of medical devices(e.g., a nuclear magnetic resonance (NMR), a computer tomography (CT)device, a digital X-ray (DR) device, an ultrasound device, an X-rayimaging device) in a medical imaging department of a hospital. Theformat for PACS image storage and transfer may be digital imaging andcommunications in medicine (DICOM).

In some embodiments, the orthosis design system 100 may include a 3Dprinting server. The 3D printing server may be connected to a 3Dprinting device to print an orthosis based on housing design data,orthosis design data, and/or a plurality of 3D printing parametersassociated with the orthosis as described elsewhere in the presentdisclosure.

In some embodiments, the orthosis design system 100 may include a datamanagement system (e.g., a data management system 1700 as illustrated inFIG. 17 ). The data management system may be configured to manage dataassociated with the orthosis design system 100. The data associated withthe orthosis design system 100 may include identification information ofthe subject (e.g., an identification (ID) number of the subject, a nameof the subject, the gender of the subject, the age of the subject, aportion of the subject to be corrected), image data of the subject, a 3Dmodel of the subject, orthosis design data, housing design dataassociated with a housing of the orthosis, a 3D printing parameter ofthe orthosis, or the like, or any combination thereof. In someembodiments, the data management system may include an importing module(e.g., an importing module 1701 as illustrated in FIG. 17 ), a storagemodule (e.g., a storage module 1702 as illustrated in FIG. 17 ), and aprinting module (e.g., a printing module 1703 as illustrated in FIG. 17). More descriptions of the data management system may be foundelsewhere in the present disclosure (e.g., FIGS. 17, 18, 19, 20 , anddescriptions thereof).

FIG. 2 is a schematic diagram illustrating hardware and/or softwarecomponents of an exemplary computing device according to someembodiments of the present disclosure. As illustrated in FIG. 2 , thecomputing device 200 may include a processor 210, a storage 220, aninput/output (I/O) 230, and a communication port 240. In someembodiments, the processing device 114 and/or the terminal device 130may be implemented on the computing device 200.

The processor 210 may execute computer instructions (program code) and,when executing the instructions, cause the processing device 114 toperform functions of the processing device 114 in accordance withtechniques described herein. The computer instructions may include, forexample, routines, programs, objects, components, signals, datastructures, procedures, modules, and functions, which perform particularfunctions described herein. In some embodiments, the processor 210 mayprocess data and/or images obtained from the data obtaining device 110,the terminal device 130, the storage device 150, and/or any othercomponents of the orthosis design system 100. For example, the processor210 may obtain image data from the data obtaining device 110. In someembodiments, the processor 210 may include one or more hardwareprocessors, such as a microcontroller, a microprocessor, a reducedinstruction set computer (RISC), an application-specific integratedcircuits (ASICs), an application-specific instruction-set processor(ASIP), a central processing unit (CPU), a graphics processing unit(GPU), a physics processing unit (PPU), a microcontroller unit, adigital signal processor (DSP), a field-programmable gate array (FPGA),an advanced RISC machine (ARM), a programmable logic device (PLD), anycircuit or processor capable of executing one or more functions, or thelike, or any combinations thereof.

Merely for illustration, only one processor is described in thecomputing device 200. However, it should be noted that the computingdevice 200 in the present disclosure may also include multipleprocessors. Thus operations and/or method steps that are performed byone processor as described in the present disclosure may also be jointlyor separately performed by the multiple processors. For example, if inthe present disclosure the processor of the computing device 200executes both process A and process B, it should be understood thatprocess A and process B may also be performed by two or more differentprocessors jointly or separately in the computing device 200 (e.g., afirst processor executes process A and a second processor executesprocess B, or the first and second processors jointly execute processesA and B).

The storage 220 may store data/information obtained from the dataobtaining device 110, the terminal device 130, the storage device 150,the server 144, or any other components of the orthosis design system100. In some embodiments, the storage 220 may include a mass storagedevice, removable storage device, a volatile read-and-write memory, aread-only memory (ROM), or the like, or any combination thereof. Forexample, the mass storage may include a magnetic disk, an optical disk,a solid-state drive, etc. The removable storage may include a flashdrive, a floppy disk, an optical disk, a memory card, a zip disk, amagnetic tape, etc. The volatile read-and-write memory may include arandom-access memory (RAM). The RAM may include a dynamic RAM (DRAM), adouble date rate synchronous dynamic RAM (DDR SDRAM), a static RAM(SRAM), a thyristor RAM (T-RAM), and a zero-capacitor RAM (Z-RAM), etc.The ROM may include a mask ROM (MROM), a programmable ROM (PROM), anerasable programmable ROM (PEROM), an electrically erasable programmableROM (EEPROM), a compact disk ROM (CD-ROM), and a digital versatile diskROM, etc. In some embodiments, the storage 220 may store one or moreprograms and/or instructions to perform exemplary methods described inthe present disclosure. For example, the storage 220 may store a program(e.g., in the form of computer-executable instructions) for theprocessing device 114 to determine orthosis design data. As anotherexample, the storage 220 may store a program (e.g., in the form ofcomputer-executable instructions) for the processing device 114 todetermine a split surface of a 3D model.

The I/O 230 may input or output signals, data, and/or information. Insome embodiments, the I/O 230 may enable user interaction with theprocessing device 114. In some embodiments, the I/O 230 may include aninput device and an output device. Exemplary input devices may include akeyboard, a mouse, a touch screen, a microphone, or the like, or acombination thereof. Exemplary output devices may include a displaydevice, a loudspeaker, a printer, a projector, or the like, or acombination thereof. Exemplary display devices may include a liquidcrystal display (LCD), a light-emitting diode (LED)-based display, aflat panel display, a curved screen, a television device, a cathode raytube (CRT), or the like, or a combination thereof.

The communication port 240 may be connected to a network (e.g., thenetwork 160) to facilitate data communications. The communication port240 may establish connections between the processing device 114 and thedata obtaining device 110, the terminal device 130, or the storagedevice 150. The connection may be a wired connection, a wirelessconnection, or a combination of both that enables data transmission andreception. The wired connection may include an electrical cable, anoptical cable, a telephone wire, or the like, or any combinationthereof. The wireless connection may include Bluetooth, Wi-Fi, WiMAX,WLAN, ZigBee, mobile network (e.g., 3G, 4G, 5G, etc.), or the like, or acombination thereof. In some embodiments, the communication port 240 maybe a standardized communication port, such as RS232, RS485, etc. In someembodiments, the communication port 240 may be a specially designedcommunication port. For example, the communication port 240 may bedesigned in accordance with the digital imaging and communications inmedicine (DICOM) protocol.

FIG. 3 is a schematic diagram illustrating hardware and/or softwarecomponents of a mobile device according to some embodiments of thepresent disclosure. In some embodiments, the processing device 114and/or the terminal device 130 may be implemented on the computingdevice 200. As illustrated in FIG. 3 , the mobile device 300 may includea communication platform 310, a display 320, a graphics processing unit(GPU) 330, a central processing unit (CPU) 340, an I/O 350, a memory360, and storage 390. In some embodiments, any other suitable component,including but not limited to a system bus or a controller (not shown),may also be included in the mobile device 300. In some embodiments, amobile operating system 370 (e.g., iOS, Android, Windows Phone, etc.)and one or more applications 380 may be loaded into the memory 360 fromthe storage 390 in order to be executed by the CPU 340. The applications380 may include a browser or any other suitable mobile apps forreceiving and rendering information relating to orthosis design or otherinformation from the processing device 114. User interactions with theinformation stream may be achieved via the I/O 350 and provided to theprocessing device 114 and/or other components of the orthosis designsystem 100 via the network 120.

To implement various modules, units, and functionalities described inthe present disclosure, computer hardware platforms may be used as thehardware platform(s) for one or more of the elements described herein.The hardware elements, operating systems and programming languages ofsuch computers are conventional in nature, and it is presumed that thoseskilled in the art are adequately familiar therewith to adapt thosetechnologies to generate a high-quality image of a scanned object asdescribed herein. A computer with user interface elements may be used toimplement a personal computer (PC) or another type of work station orterminal device, although a computer may also act as a server ifappropriately programmed. It is believed that those skilled in the artare familiar with the structure, programming and general operation ofsuch computer equipment and as a result, the drawings should beself-explanatory.

FIG. 4 is a block diagram illustrating an exemplary processing deviceaccording to some embodiments of the present disclosure. The processingdevice 114 may include a first obtaining module 401, a second obtainingmodule 402, an orthosis design data determination module 403, analtering module 404, a thickness adjustment module 405, a storage module406, and an uploading module 407. The modules may be hardware circuitsof at least part of the processing device 114. The modules may also beimplemented as an application or set of instructions read and executedby the processing device 114. Further, the modules may be anycombination of the hardware circuits and the application/instructions.For example, the modules may be part of the processing device 114 whenthe processing device 114 is executing the application or set ofinstructions.

The first obtaining module 401 may be configured to obtain a 3D modelassociated with a subject. In some embodiments, the first obtainingmodule 401 may obtain a 3D model associated with a subject from a 3Dcamera device (e.g., a 3D scanner). In some embodiments, the firstobtaining module 401 may obtain image data (e.g., a plurality of medicalimages) associated with a subject. The first obtaining module 401 maydetermine a 3D model associated with the subject by processing the imagedata associated with the subject. For example, the first obtainingmodule 401 may determine a target area by performing an imagesegmentation operation on the image data associated with the subject.The first obtaining module 401 may extract body surface data associatedwith the target area from the image data associated with the subject.The first obtaining module 401 may generate a plurality of meshes of the3D model based on the body surface data associated with the target area.In some embodiments, the first obtaining module 401 may process bodysurface data. For example, the first obtaining module 401 may perform afiltering operation, a smoothing operation, a boundary calculationoperation, or the like, or any combination thereof, on the body surfacedata. More descriptions of the obtaining of the 3D model may be foundelsewhere in the present disclosure (e.g., FIGS. 5, 6 , and descriptionsthereof).

The second obtaining module 402 may be configured to obtain a referenceimage associated with a subject. In some embodiments, the secondobtaining module 402 may obtain one or more reference images associatedwith a subject from the data obtaining device 110 (e.g., a DR device, anX-ray imaging device, a camera). In some embodiments, the secondobtaining module 402 may obtain one or more reference images based onthe identification information of a subject. In some embodiments, thesecond obtaining module 402 may obtain one or more reference imagesbased on a machine learning model. More descriptions of the obtaining ofthe one or more reference images may be found elsewhere in the presentdisclosure (e.g., FIG. 5 and descriptions thereof).

The orthosis design data determination module 403 may be configured todetermine orthosis design data for a subject. In some embodiments, theorthosis design data determination module 403 may determine orthosisdesign data for a subject based on a 3D model of the subject and one ormore reference images of the subject. For example, the orthosis designdata determination module 403 may compare a 3D model of a subject withone or more reference images of the subject. The orthosis design datadetermination module 403 may determine orthosis design data by modifyingthe 3D model based on a comparison result. More descriptions ofdetermination of orthosis design data for a subject may be foundelsewhere in the present disclosure (e.g., FIG. 5 and descriptionsthereof).

The altering module 404 may be configured to alter orthosis design data.In some embodiments, the altering module 404 may determine force data ofat least one region of a subject after wearing an orthosis based on a 3Dmodel of the subject and orthosis design data for the subject. Thealtering module 404 may alter the orthosis design data based on theforce data of the at least one region of the subject. More descriptionsfor altering orthosis design data for a subject may be found elsewherein the present disclosure (e.g., FIG. 5 and descriptions thereof).

The thickness adjustment module 405 may be configured to determinehousing design data associated with a housing of an orthosis. In someembodiments, the thickness adjustment module 405 may determine housingdesign data associated with a housing of an orthosis by performing athickness-adjustment operation on orthosis design data. In someembodiments, the housing design data may represent a size of theorthosis. For example, the housing design data may include a length, awidth, a height, a thickness of the orthosis, or the like, or anycombination thereof. More descriptions of determination of the housingdesign data may be found elsewhere in the present disclosure (e.g., FIG.5 and descriptions thereof).

The storage module 406 may be configured to store data and/orinformation associated with the orthosis design system 100. The dataassociated with the orthosis design system 100 may includeidentification information of the subject (e.g., an identification (ID)number of the subject, a name of the subject, the gender of the subject,the age of the subject, a portion of the subject to be corrected), imagedata of the subject, a 3D model of the subject, orthosis design data,housing design data associated with a housing of the orthosis, a 3Dprinting parameter of the orthosis, or the like, or any combinationthereof.

The uploading module 407 may be configured to transmit data and/orinformation associated with the orthosis design system 100 to one ormore other components of the orthosis design system 100. In someembodiments, the uploading module 407 may transmit housing design datato a server (e.g., a 3D print server) for 3D printing.

It should be noted that the above description of the processing device114 is merely provided for the purposes of illustration, and notintended to limit the scope of the present disclosure. For personshaving ordinary skills in the art, multiple variations and modificationsmay be made under the teachings of the present disclosure. However,those variations and modifications do not depart from the scope of thepresent disclosure. In some embodiments, one or more modules may becombined into a single module. For example, the first obtaining module401 and the second obtaining module may be combined into a singlemodule, which may both obtain a 3D model of a subject and one or morereference images of the subject. In some embodiments, one or moremodules may be added or omitted in the processing device 114. Forexample, the storage module 406 may be omitted. Data associated with theorthosis design system 100 may be stored in one or more storage devices(e.g., the storage device 150) of the orthosis design system 100, or anexternal storage device. As another example, the altering module 404 maybe omitted. The orthosis design data determination module 403 may alterthe orthosis design data.

FIG. 5 is a flowchart illustrating an exemplary process for designing anorthosis according to some embodiments of the present disclosure.Process 500 may be executed by the orthosis design system 100. Forexample, process 500 may be implemented as a set of instructions (e.g.,an application) stored in the storage device 150 in the orthosis designsystem 100. The processing device 114 may execute the set ofinstructions and may accordingly be directed to perform process 500 inthe orthosis design system 100. The operations of the illustratedprocess 500 presented below are intended to be illustrative. In someembodiments, process 500 may be accomplished with one or more additionaloperations not described, and/or without one or more of the operationsdiscussed. Additionally, the order in which the operations of process500 as illustrated in FIG. 5 and described below is not intended to belimiting.

In 510, the processing device 114 (e.g., the first obtaining module 401)may obtain a 3D model associated with a subject.

The subject may be biological or non-biological. In some embodiments,the subject may include a patient, an animal, a man-made object, etc. Insome embodiments, the subject may include a specific portion, organ,and/or tissue of the patient or the animal to be corrected. For example,the subject may include the spine, an upper limb bone, an olecranonfracture, an ulna, phalanges of fingers, metatarsal bones, thigh bone,an ossa cruris, an ankle joint, or the like, or any combination thereof.

In some embodiments, the 3D model associated with the subject mayinclude a 3D model of the whole or a portion of the patient or theanimal. For example, the 3D model associated with the subject may be a3D model of a human body or an animal body, a 3D model of a leg, a 3Dmodel of a spine, or the like. A size of the 3D model associated withthe subject may be relating to an actual size of the subject. Forexample, the size of the 3D model may be determined by scaling (e.g.,scaling down or scaling up) the actual size of the subjectproportionally.

In some embodiments, the processing device 114 may obtain the 3D modelassociated with the subject uploaded by a 3D camera device (e.g., a 3Dscanner). The 3D model may be obtained by scanning the subject via the3D camera device (e.g., the 3D scanner). In some embodiments, theprocessing device 114 may obtain the 3D model associated with thesubject from a terminal device (e.g., the terminal device 130) via thenetwork 120. For example, a user may input a 3D model of the subject tothe terminal device (e.g., the terminal device 130) via a network portdirectly.

In some embodiments, the processing device 114 may obtain image data(e.g., a plurality of medical images) associated with the subject. Forexample, the processing device 114 may obtain the image data from thedata obtaining device 110 directly via the network 120. As anotherexample, the processing device 114 may obtain the image data from adatabase based on identification information of the subject input by auser. The identification information of the subject may include anidentification (ID) number of the subject, a name of the subject, thegender of the subject, the age of the subject, a portion of the subjectto be corrected, or the like, or any combination thereof. In someembodiments, the database may include a medical imaging informationsystem. For example, the database may be a picture archiving andcommunication system (PACS). The PACS may refer to a medical imagingtechnology which provides economical storage and convenient access toimages from multiple modalities (source machine types). In someembodiments, the PACS may store a plurality of images (e.g., a pluralityof medical images) generated by a plurality of medical devices (e.g., anuclear magnetic resonance (NMR), a computer tomography (CT) device, adigital X-ray (DR) device, an ultrasound device, an X-ray imagingdevice) in a medical imaging department of a hospital. The format forPACS image storage and transfer may be digital imaging andcommunications in medicine (DICOM).

The processing device 114 may determine the 3D model associated with thesubject by processing the image data associated with the subject. Forexample, the processing device 114 may determine a target area byperforming an image segmentation operation on the image data associatedwith the subject. The processing device 114 may extract body surfacedata associated with the target area from the image data associated withthe subject. The processing device 114 may generate a plurality ofmeshes of the 3D model based on the body surface data associated withthe target area. More descriptions of obtaining of the 3D model may befound elsewhere in the present disclosure (e.g., FIG. 6 and descriptionsthereof).

In some embodiments, an instruction to obtain the 3D model of thesubject may be stored in a storage device (e.g., the storage device 150)of the orthosis design system 100, and may be executed by the processingdevice 114 (e.g., the first obtaining module 401).

In 520, the processing device 114 (e.g., the second obtaining module402) may obtain one or more reference images associated with thesubject.

In some embodiments, the one or more reference images may include a DRimage, a CT image, an MR image, or the like, or any combination thereof.For example, the one or more reference images may be two-dimensional DRimages (e.g., a DR plain film). In some embodiments, the reference imagemay include annotation information. The annotation information mayinclude a Cobb angle. As used herein, the Cobb angle may refer to ameasurement of the degree of side-to-side spinal curvature. The Cobbangle may describe the maximum distance from straight a scoliotic curvemay be. In some embodiments, the degree of spinal curvature of a human(or an animal) may be evaluated based on the Cobb angle. A treatmentmethod (e.g., an orthosis treatment, a surgical treatment) may bedetermined based on the degree of spinal curvature of the human (or theanimal). For example, if the Cobbe angle annotated on the referenceimage is in a range from 20° to 45°, it may indicate that the degree ofspinal curvature is relatively low and an orthosis may be used tocorrect the spine. If the Cobbe angle exceeds 45°, it may indicate thatthe degree of spinal curvature is relatively high and a surgicaltreatment may be performed to correct the spine.

In some embodiments, the processing device 114 may obtain the one ormore reference images associated with the subject from the dataobtaining device 110 (e.g., a DR device, an X-ray imaging device, acamera). The data obtaining device 110 (e.g., a DR device, an X-rayimaging device, a camera) may perform a laser scanning or an opticalscanning on the subject. For example, the data obtaining device 110(e.g., a DR device, an X-ray imaging device, a camera) may capture aplurality of images associated with the subject, and store the pluralityof images in a storage device (e.g., the storage device 150) of theorthosis design system 100. The processing device 114 may access thestorage device and retrieve the one or more reference images from thestorage device. As another example, the data obtaining device 110 (e.g.,a DR device, an X-ray imaging device, a camera) may send one or morecaptured reference images to the processing device 114 directly.

In some embodiments, the processing device 114 may obtain the one ormore reference images based on the identification information of thesubject. For example, the processing device 114 may obtain theidentification information of the subject (e.g., a patient). Theprocessing device 114 may select one or more images from a plurality ofhistorical images based on the identification information of thesubject. The user identification information associated with theselected one or more images may be similar with the identificationinformation of the subject. The processing device 114 may determine theselected one or more images as the one or more reference images of thesubject.

In some embodiments, the processing device 114 may obtain the one ormore reference images based on a machine learning model. For example,the processing device 114 may determine an image generation model bytraining a preliminary model based on historical image data. Theprocessing device 114 may obtain the one or more reference images byinputting the identification information of the subject into the imagegeneration model.

In some embodiments, an instruction to obtain the one or more referenceimages of the subject may be stored in a storage device (e.g., thestorage device 150) of the orthosis design system 100, and may beexecuted by the processing device 114 (e.g., the second obtaining module402).

In 530, the processing device 114 (e.g., the orthosis design datadetermination module 403) may determine orthosis design data for thesubject based on the 3D model and the one or more reference images.

In some embodiments, the orthosis design data may refer to data fordesigning an orthosis for the subject to be corrected. The orthosisdesign data may be used to determine the orthosis for the subject. Insome embodiments, the orthosis may be an extracorporeal deviceconfigured on the subject or a portion thereof to be corrected. In someembodiments, the processing device 114 may compare the 3D model with thereference image(s). For example, the processing device 114 maysuperimpose the reference image on the 3D model, as illustrated in FIG.8 . Specifically, the processing device 114 may determine one or morefirst reference points (or one or more first feature points) in thereference image. The processing device 114 may determine one or moresecond reference points (or one or more second feature points)corresponding to the one or more first reference points in the 3D model.The processing device 114 may superimpose the reference image on the 3Dmodel by aligning the one or more first reference points in thereference image and the one or more corresponding second referencepoints in the 3D model.

In some embodiments, the processing device 114 may determine theorthosis design data by modifying the 3D model based on a comparisonresult (e.g., a superimposing result). The orthosis design data for thesubject may include a processing result determined by performing a meshdeformation operation, a mesh smoothing operation, a mesh divisionoperation, a mesh splitting operation, or the like, or any combinationthereof, on the 3D model.

In some embodiments, the processing device 114 may perform a meshsplitting operation (also referred to as a model splitting operation) onthe 3D model to generate a desired shape. For example, the processingdevice 114 may determine a spline curve associated with the 3D model.For each point of a plurality of points on the spline curve, theprocessing device 114 may determine a center point corresponding to thepoint. The processing device 114 may determine a link line connectingthe center point and the corresponding point. The processing device 114may determine a plurality of boundary points along a direction of thelink line. The processing device 114 may generate a split surface basedon all the boundary points corresponding to the plurality of points onthe spline curve. The processing device 114 may split the 3D model basedon the split surface. More descriptions for splitting a 3D model may befound elsewhere in the present disclosure (e.g., FIGS. 10-16 , anddescriptions thereof).

In some embodiments, the orthosis design data may be determined manuallyby a user (e.g., an orthosis designer). For example, an orthosisdesigner may modify the 3D model based on the comparison result betweenthe 3D model and the reference image(s) to determine the orthosis designdata (e.g., a plurality of parameters associated with the orthosis).

In some embodiments, an instruction to determine the orthosis designdata may be stored in a storage device (e.g., the storage device 150) ofthe orthosis design system 100, and may be executed by the processingdevice 114 (e.g., the orthosis design data determination module 403).

According to some embodiments of the present disclosure, the referenceimage(s) and the 3D model of the subject may be obtained by theprocessing device 114 based on an orthosis design instruction obtainedvia a network access port. The orthosis (e.g., an orthosis model) may bedesigned by comparing the reference image(s) of the subject with the 3Dmodel of the subject (e.g., superimposing the reference image(s) on the3D model). Accordingly, problems of complicated and low efficiency of anorthosis design process in prior arts may be solved. A plurality ofusers may access the server for designing the orthosis via the networkaccess port to complete the design of the orthosis. The orthosis designprocess may be simplified, and the efficiency of the orthosis designprocess may be improved.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. In someembodiments, operations 510 and 520 may be combined into one operation.In operation 510, the processing device 114 may obtain the 3D model andthe reference image of the subject.

In some embodiments, one or more operations may be added in process 500.For example, an operation for altering the orthosis design data may beadded in process 500. More descriptions for altering of the orthosisdesign data may be found elsewhere in the present disclosure (e.g., FIG.7 and descriptions thereof).

As another example, an operation for determining housing design dataassociated with a housing of the orthosis may be added in process 500.In some embodiments, the processing device 114 (e.g., the thicknessadjustment module 405) may determine the housing design data associatedwith the housing of the orthosis by performing a thickness-adjustmentoperation on the orthosis design data. In some embodiments, the housingdesign data may represent a size of the orthosis. For example, thehousing design data may include a length, a width, a height, a thicknessof the orthosis, or the like, or any combination thereof. In someembodiments, the thickness of the orthosis may be in a range from 3 mmto 4 mm. In some embodiments, the processing device 114 (e.g., thestorage module 406) may store the housing design data in one or morecomponents (e.g., the terminal device 130, the storage device 150) ofthe orthosis design system 100. In some embodiments, the processingdevice 114 (e.g., the uploading module 407) may transmit the housingdesign data to a server (e.g., a 3D print server).

As still another example, an operation for printing the orthosis may beadded in process 500. In some embodiments, the server 144 may beconnected to a 3D printing server with a communication protocoldirectly. The processing device 114 may transmit the orthosis designdata, the housing design data, and/or a plurality of 3D printingparameters associated with the orthosis to the 3D printing server. Theplurality of 3D printing parameters associated with the orthosis mayinclude a printing material, a printing orientation, a layer thickness,a printing orientation angle, a filling ratio, a filament feed rate, orthe like, or any combination thereof. The 3D printing server may beconnected to a 3D printing device to print the orthosis based on thehousing design data, the orthosis design data, and/or a plurality of 3Dprinting parameters associated with the orthosis. Accordingly, anorthosis design and print process may be achieved.

According to some embodiments of the present disclosure, the referenceimage(s) and the 3D model of the subject may be obtained by theprocessing device 114 based on an orthosis design instruction obtainedvia a network access port. The orthosis may be designed by comparing thereference image(s) of the subject with the 3D model of the subject(e.g., superimposing the reference image(s) on the 3D model). Dataassociated with the orthosis (e.g., the orthosis design data, thehousing design data) may be transmitted to the 3D printing server, andan orthosis may be printed. Accordingly, the problems of complicated andlow efficiency of an orthosis design process in prior arts may besolved. The user may access the server for designing the orthosis andthe server for printing the orthosis via the network access port tocomplete the design and the print of the orthosis. The orthosis designand print process may be simplified, and the efficiency of the orthosisdesign and print process may be improved.

FIG. 6 is a flowchart illustrating an exemplary process for obtaining a3D model associated with a subject according to some embodiments of thepresent disclosure. Process 600 may be executed by the orthosis designsystem 100. For example, process 600 may be implemented as a set ofinstructions (e.g., an application) stored in the storage device 150 inthe orthosis design system 100. The processing device 114 may executethe set of instructions and accordingly be directed to perform process600 in the orthosis design system 100. The operations of the illustratedprocess 600 presented below are intended to be illustrative. In someembodiments, process 600 may be accomplished with one or more additionaloperations not described, and/or without one or more of the operationsdiscussed. Additionally, the order in which the operations of process600 as illustrated in FIG. 6 and described below is not intended to belimiting.

In 610, the processing device 114 (e.g., the first obtaining module 401)may obtain image data associated with a subject.

In some embodiments, the image data may include a medical image. Forexample, the image data may include an MR image, a CT image, a digitalX-ray image, a computer X-ray image, or the like, or any combinationthereof. In some embodiments, the image data may include a data set of aplurality of tomographic images. The processing device 114 may determinethe 3D model based on the data set of the plurality of tomographicimages. For example, the processing device 114 may superimpose theplurality of tomographic images to generate the 3D model. In someembodiments, the processing device 114 may obtain the image data from adatabase (e.g., a PACS), as described elsewhere in the presentdisclosure (e.g., FIG. 5 and descriptions thereof).

In some embodiments, the image data may be in a form of digital imagingand communications in medicine (DICOM). DICOM may refer to a standardfor image data storage and transfer. DICOM may use a specific fileformat and a communication protocol to define a medical image formatthat can be used for data exchange with a quality that meets clinicalneeds. For example, an image (e.g., a medical image) may be saved as aDICOM file format. In some embodiments, a medical imaging device (e.g.,a CT device, a DR device, an MRI device, a 3D scanner) may change aformat of a medical image to a DICOM file format. A user (e.g., adoctor, an orthosis designer) of the orthosis design system 100 may usea viewer with a function to read a DICOM file, to read the medical imagein the DICOM file format, and to determine information associated withthe medical image.

In some embodiments, the image data in the DICOM file format may includedata related to an image in the DICOM file format, personal informationof the subject (e.g., a patient), medical information of the subject, orthe like, or any combination thereof. The data related to the image inthe DICOM file format may include data associated with a device thatcaptures the image, medical background data (e.g., historical diseases),or the like, or any combination thereof. The personal information of thesubject may include a name, the gender, the age, a weight, a height, anidentification (ID) number (e.g., an ID card number) of the subject, orthe like, or any combination thereof. The medical information mayinclude a medical history of the subject, surgery information, or thelike, or any combination thereof. The surgery information may include astart time of a surgery, an estimated end time of the surgery, asurgical operation procedure, or the like, or any combination thereof.

In some embodiments, an instruction to obtain the image data may bestored in a storage device (e.g., the storage device 150) of theorthosis design system 100, and may be execute by the processing device114 (e.g., the first obtaining module 401).

In some embodiments, the processing device 114 may preprocess the imagedata. For example, the processing device 114 may perform an imagesegmentation operation, an image filtering operation, a smoothingoperation, a mesh generation operation, or the like, or any combinationthereof, on the image data.

In 620, the processing device 114 (e.g., the first obtaining module 401)may determine a target area by performing an image segmentationoperation on the image data associated with the subject.

In some embodiments, the image segmentation operation may include athreshold segmentation operation, an edge segmentation operation, aregion segmentation operation, a motion segmentation operation, asegmentation operation based on an active contour model, a segmentationoperation based on fuzzy clustering algorithm, a segmentation operationbased on wavelet transform, or the like, or any combination thereof. Insome embodiments, the threshold segmentation operation may include ahistogram threshold segmentation operation, an inter-class variancethreshold segmentation operation, a two-dimensional maximum entropyimage segmentation operation, a fuzzy threshold segmentation operation,or the like, or any combination thereof. In some embodiments, the regionsegmentation operation may include a region growth operation, a regionmerging operation, or the like, or any combination thereof. In someembodiments, the target area may include an area to be corrected in theimage data. The processing device 114 may perform an image segmentationoperation on the image data to obtain the target area.

In some embodiments, an instruction for performing an image segmentationoperation on the image data may be stored in a storage device (e.g., thestorage device 150) of the orthosis design system 100, and may beexecuted by the processing device 114 (e.g., the first obtaining module401).

In 630, the processing device 114 (e.g., the first obtaining module 401)may extract body surface data associated with the target area from theimage data associated with the subject.

In some embodiments, the body surface data may include a plurality ofpixels of a body surface contour (e.g., a skin contour) obtained fromthe segmented image data. In some embodiments, the body surface data mayinclude a mask. The mask may include, but is not limited to, atwo-dimensional matrix array, a multi-value image, or the like, or anycombination thereof. In some embodiments, the processing device 114 mayextract the body surface data associated with the target area from thesegmented image data.

In some embodiments, the processing device 114 may process the bodysurface data. For example, the processing device 114 may delete aplurality of noise points (e.g., a plurality of pixels of clothes oraccessories) in the body surface data. Accordingly, the processed bodysurface data may be more suitable for constructing the 3D model. Asanother example, the processing device 114 may perform a filteringoperation, a smoothing operation, a boundary calculation operation, orthe like, or any combination thereof, on the body surface data.

In some embodiments, an instruction for extracting body surface data ofthe target area may be stored in a storage device (e.g., the storagedevice 150) of the orthosis design system 100, and may be executed bythe processing device 114 (e.g., the first obtaining module 401).

In 640, the processing device 114 (e.g., the first obtaining module 401)may generate a plurality of meshes of the 3D model based on the bodysurface data associated with the target area.

In some embodiments, the mesh may be formed by combining a plurality offeature points of the body surface data associated with the target area.In some embodiments, the feature points may include a plurality ofpixels of a body surface contour of the target area. For example, aplurality of feature points of the body surface data may be connected toform a plurality of faces. The plurality of faces may be combined toform the plurality of meshes of the 3D model. In some embodiments, theface may have a shape of a triangle, a quadrilateral, or other concaveor convex polygons. Accordingly, the plurality of meshes of the 3D modelmay be formed by combining the plurality of faces, a rendering process(or a display process) may be simplified.

In some embodiments, an instruction for generating the plurality ofmeshes may be stored in a storage device (e.g., the storage device 150)of the orthosis design system 100, and may be executed by the processingdevice 114 (e.g., the first obtaining module 401).

Taking an orthosis design process for a scoliosis patient as an example.The processing device 114 may segment image data associated with a torsoof a subject. The processing device 114 may extract body surface dataand spine data of the subject. The processing device 114 may process thebody surface data. For example, the processing device 114 may perform asmoothing operation, a filtering operation, or a boundary correctionoperation, on the body surface data, to achieve a good segmentationeffect on the body surface data and the spine data. The processingdevice 114 may generate a plurality of polygon meshes based on theprocessed body surface data to form a 3D model. In some embodiments, theplurality of polygon meshes may include point cloud data of the subject.The 3D model may be generated based on the point cloud data. As usedherein, the point cloud data may refer to the body surface data of thesubject.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. For example,operations 410 and 420 may be performed simultaneously.

FIG. 7 is a flowchart illustrating an exemplary process for alteringorthosis design data according to some embodiments of the presentdisclosure. The process 700 may be executed by the orthosis designsystem 100. For example, process 700 may be implemented as a set ofinstructions (e.g., an application) stored in the storage device 150 inthe orthosis design system 100. The processing device 114 may executethe set of instructions and accordingly be directed to perform theprocess 700 in the orthosis design system 100. The operations of theillustrated process 700 presented below are intended to be illustrative.In some embodiments, the process 700 may be accomplished with one ormore additional operations not described, and/or without one or more ofthe operations discussed. Additionally, the order in which theoperations of the process 700 as illustrated in FIG. 7 and describedbelow is not intended to be limiting.

In 710, the processing device 114 (e.g., the altering module 404) maydetermine, based on the 3D model and the orthosis design data, forcedata of at least one region of the subject after wearing an orthosis.

In some embodiments, the force data may include a force magnitude and/ora force direction generated by the orthosis on the at least one regionof the subject after wearing the orthosis. In some embodiments, theprocessing device 114 may determine the force data by performing one ormore simulation experiments. For example, the processing device 114 maygenerate a 3D orthosis model based on the orthosis design data. Theprocessing device 114 may simulate force data generated by the 3Dorthosis model on the 3D model of the subject after wearing the 3Dorthosis model. For example, the processing device 114 may simulate acurvature degree of at least one mesh of the 3D model of the subjectafter wearing the orthosis. The processing device 114 may determine theforce data based on the bending degree of the at least one mesh of the3D model of the subject.

In some embodiments, the force data (e.g., the force magnitude, theforce direction) generated by the 3D orthosis model on different regionsof the 3D model of the subject may be different. For example, theprocessing device 114 may determine the force data of a plurality ofmeshes of the 3D model of the subject by simulating the force data ofthe at least one region of the subject after wearing the orthosis. Insome embodiments, the processing device 114 may display different forcedata (e.g., different magnitudes of force) in different colors. Forexample, the processing device 114 may determine preset force data forthe plurality of meshes of the 3D model of the subject. The processingdevice 114 may display different preset force data in different colors.The preset force data for a mesh of the 3D model of the subject mayrefer to a force generated by the 3D orthosis model on the mesh. Forillustration purposes, if the force applied on a mesh is relativelylarge, the processing device 114 may display the mesh in a red color. Ifthe force applied on a mesh is relatively low, the processing device 114may display the mesh in a blue color.

In some embodiments, an instruction for simulating the force data may bestored in a storage device (e.g., the storage device 150) of theorthosis design system 100, and may be executed by the processing device114 (e.g., the altering module 404).

In 720, the processing device 114 (e.g., the altering module 404) mayalter, based on the force data of the at least one region of thesubject, the orthosis design data.

In some embodiments, the processing device 114 may alter the orthosisdesign data based on the force data of the at least one region of thesubject. For example, the processing device 114 may alter the orthosisdesign data based on the force magnitudes and force directions of theplurality of meshes of the 3D model of the subject, and an applied forceof the 3D orthosis model. In some embodiments, the applied force of the3D orthosis model may refer to a force of a pressure region of theorthosis applied on different regions of the subject during thecorrecting of the subject. In some embodiments, the applied force may bedetermined according to statistical clinical data. In some embodiments,the applied force may be determined based on a trained machine learningmodel.

For illustration purposes, a process for altering the orthosis designdata may be taken as an example. When a 3D model of the subject does notwear the 3D orthosis model, a triangular face on the 3D model of thesubject is at a position of d and the force is 0. After the 3D model ofthe subject wears the 3D orthosis model, the triangular face is at aposition of e, and the force is A. The preset applied force of the 3Dorthosis model on the triangular face is B. The value of B is differentfrom the value of A. If B is greater than A, it may indicate that theforce applied on the triangular face is relatively low after the 3Dorthosis model is worn on the 3D model of the subject. The processingdevice 114 may mark the position of e in a blue color. The orthosisdesign data may need to be altered to increase the force applied on thetriangular face. That is, a curvature degree of one or more meshes inthe triangle face may need to be increased. During the altering of theorthosis design data, the color of the position of e may change fromblue to light blue or transparent gradually, as the force applied on thetriangular face increases. If B is less than A, it may indicate that theforce applied on the triangle face is relatively large after the 3Dorthosis model is worn on the 3D model of the subject. The processingdevice 114 may mark the position of e in a red color. The orthosisdesign data may need to be altered to reduce the force applied on thetriangle face. That is, a curvature degree of one or more meshes in thetriangle face may need to be reduced. During the altering of theorthosis design data, the color of the position of e may change from redto light red or transparent gradually, as the force applied on thetriangular face decreases. By adjusting the orthosis design data, theforce A generated by the 3D orthosis model on the triangular face may beequal to (or substantially equal to) the preset applied force B, so thatthe force of the triangular face at the position of e may be equal to(or substantially equal to) the applied force. Similarly, the processingdevice 114 may alter the orthosis design data by correcting theplurality of meshes (or a plurality of pressure regions) of the 3D modelof the subject. Accordingly, the orthosis determined based on thealtered orthosis design data may match the subject closely, and acorrection effect of the orthosis may be ensured.

In some embodiments, after the orthosis design data is altered by theprocessing device 114, the altered orthosis design data may further beconfirmed by the user of the orthosis design system 100. For example, ifthe altered orthosis design data cannot meet a correction requirement,the user may further modify the alter orthosis design data. In someembodiments, a user (e.g., a doctor, an orthosis designer) of theorthosis design system 100 may alter the orthosis design data based onthe force data of the at least one region of the subject after wearingthe orthosis.

In some embodiments, an instruction to obtain the altered orthosisdesign data may be stored in a storage device (e.g., the storage device150) of the orthosis design system 100, and may be executed by theprocessing device 114 (e.g., the altering module 404).

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. In someembodiments, in 710, the processing device 114 may determine the forcedata of the at least one region of the subject after wearing theorthosis based on a trained machine learning model. For example, theprocessing device 114 may input the orthosis design data and the 3Dmodel of the subject into the trained machine learning model. Thetrained machine learning model may output the force data of the at leastone region of the subject after wearing the orthosis.

FIG. 8 illustrates an exemplary image of a reference image superimposedon a 3D model according to some embodiments of the present disclosure.

As shown in FIG. 8, 810 refers to a reference image (e.g., a DR image)of a subject, and 820 refers to a 3D model of the subject. The referenceimage 810 may reflect a degree of scoliosis of the subject, as shown ina position 830 in the reference image 810. The processing device 114 maysuperimpose the reference image 810 on the 3D model 820. The processingdevice 114 may determine orthosis design data by modifying the 3D model820 based on a superimposing result, as described elsewhere in thepresent disclosure (e.g., FIG. 5 and descriptions thereof).

FIG. 9 is a schematic diagram illustrating a housing of an orthosisaccording to some embodiments of the present disclosure.

In some embodiments, the processing device 114 may perform one or moreprocessing operations on orthosis design data based on correction needsof different regions of a subject. For example, as shown in FIG. 9 , theprocessing device 114 may perform a mesh deformation operation on apressure region 910 of the orthosis. As another example, the processingdevice 114 may perform a mesh splitting operation on an edge and/or anopening of the orthosis, as shown in a region 920 in FIG. 9 . As stillanother example, the processing device 114 may perform a mesh smoothingand/or a mesh division operation on one or more other regions 930 of theorthosis. In some embodiments, the processing device 114 may determinehousing design data associated with a housing of the orthosis byperforming a thickness-adjustment operation on the orthosis design data,as described elsewhere in the present disclosure. The housing designdata may be used to determine the housing of the orthosis with a certainthickness, as shown in a position 940 in FIG. 9 .

FIG. 10 is a block diagram illustrating an exemplary orthosis designdata determination module according to some embodiments of the presentdisclosure. The orthosis design data determination module 403 mayinclude an initialization unit 1001, a spline curve determination unit1002, a center point determination unit 1003, a link line determinationunit 1004, a boundary point determination unit 1005, a split surfacedetermination unit 1006, and a splitting unit 1007. The units may behardware circuits of at least part of the orthosis design datadetermination module 403. The units may also be implemented as anapplication or set of instructions read and executed by the orthosisdesign data determination module 403. Further, the units may be anycombination of the hardware circuits and the application/instructions.For example, the units may be part of the orthosis design datadetermination module 403 when the orthosis design data determinationmodule 403 is executing the application or set of instructions.

The initialization unit 1001 may be configured to initialize a 3D model.In some embodiments, the initialization unit 1001 may obtain dataassociated with a 3D model. In some embodiments, the initialization unit1001 may initialize camera parameters. In some embodiments, theinitialization unit 1001 may determine an initial transformation matrixbetween a model coordinate system and a world coordinate system. In someembodiments, the initialization unit 1001 may render a 3D model based ondata associated with the 3D model. More descriptions of theinitialization of the 3D model may be found elsewhere in the presentdisclosure (e.g., FIG. 11 , and descriptions thereof).

The spline curve determination unit 1002 may be configured to determinea spline curve associated with a 3D model. In some embodiments, thespline curve determination unit 1002 may obtain a plurality of firstcoordinates input by a user. In some embodiments, the spline curvedetermination unit 1002 may determine a plurality of third coordinatesby performing a spline interpolation operation on a plurality of firstcoordinates. In some embodiments, the spline curve determination unit1002 may determine a plurality of second coordinates by projecting aplurality of third coordinates on the 3D model. For example, the splinecurve determination unit 1002 may transform a plurality of thirdcoordinates in a screen coordinate system to a plurality of fourthcoordinates in a view coordinate system. The spline curve determinationunit 1002 may transform the plurality of fourth coordinates in the viewcoordinate system to a plurality of fifth coordinates in a cameracoordinate system. The spline curve determination unit 1002 maytransform the plurality of fifth coordinates in the camera coordinatesystem to a plurality of sixth coordinates in the world coordinatesystem. The spline curve determination unit 1002 may transform theplurality of sixth coordinates in the world coordinate system to theplurality of second coordinates in the model coordinate system. In someembodiments, the spline curve determination unit 1002 may determine aspline curve by connecting a plurality of second coordinates. Moredescriptions of the determination of the spline curve may be foundelsewhere in the present disclosure (e.g., FIGS. 11, 12, 13 , anddescriptions thereof).

The center point determination unit 1003 may be configured to determinea center point corresponding to a point (e.g., a second coordinate) on aspline curve associated with a 3D model. In some embodiments, the centerpoint determination unit 1003 may determine a center point correspondingto a point on a spline curve based on model coordinates of the point. Insome embodiments, the center point determination unit 1003 may determinea center point corresponding to a point on a spline curve by projectingthe point on a Z-axis of a model coordinate system. More descriptions ofthe determination of the center point may be found elsewhere in thepresent disclosure (e.g., FIGS. 11, 14 , and descriptions thereof).

The link line determination unit 1004 may be configured to determine alink line connecting a center point and a corresponding point (e.g., asecond coordinate) on a spline curve associated with a 3D model. In someembodiments, the link line determination unit 1004 may draw a straightline passing through a center point and a corresponding point on aspline curve. More descriptions of the determination of the link linemay be found elsewhere in the present disclosure (e.g., FIGS. 11, 14 ,and descriptions thereof).

The boundary point determination unit 1005 may be configured todetermine a plurality of boundary points along a direction of a linkline for a point (e.g., a second coordinate) on a spline curveassociated with a 3D model. In some embodiments, the plurality ofboundary points may include an inner boundary point and an outerboundary point. The inner boundary point may be located inside a 3Dmodel. The outer boundary point may be located outside the 3D model. Insome embodiments, the boundary point determination unit 1005 maydetermine an inner boundary point by extending a second coordinate tothe inside of a 3D model along a direction of a link line. In someembodiments, the boundary point determination unit 1005 may determine anouter boundary point by extending a second coordinate to the outside ofthe 3D model along a direction of a link line. More descriptions of thedetermination of the plurality of boundary points may be found elsewherein the present disclosure (e.g., FIG. 11 , and descriptions thereof).

The split surface determination unit 1006 may be configured to generatea split surface. In some embodiments, the split surface determinationunit 1006 may generate a split surface based on all boundary pointscorresponding to a plurality of points (e.g., a plurality of secondcoordinates) on a spline curve. For example, the split surfacedetermination unit 1006 may generate a plurality of split sub-surfacesby alternately connecting a plurality of inner boundary points and aplurality of outer boundary points corresponding to a plurality ofsecond coordinates. As another example, the split surface determinationunit 1006 may generate a split surface by combining a plurality of splitsub-surfaces. More descriptions of the generation of the split surfacemay be found elsewhere in the present disclosure (e.g., FIGS. 11, 15A,15B, and descriptions thereof).

The splitting unit 1007 may be configured to split a 3D model based on asplit surface. In some embodiments, the splitting unit 1007 may generateat least two sub-models by splitting a 3D model based on a splitsurface. In some embodiments, the splitting unit 1007 may render atleast one sub-model (e.g., a desired model). In some embodiments, thesplitting unit 1007 may display at least one rendered sub-model (e.g., adesired model) on a terminal device (e.g., the terminal device 130)associated with a user. More descriptions for splitting the 3D model maybe found elsewhere in the present disclosure (e.g., FIGS. 11, 16 , anddescriptions thereof).

It should be noted that the above description of the orthosis designdata determination module 403 is merely provided for the purposes ofillustration, and not intended to limit the scope of the presentdisclosure. For persons having ordinary skills in the art, multiplevariations and modifications may be made under the teachings of thepresent disclosure. However, those variations and modifications do notdepart from the scope of the present disclosure. In some embodiments,one or more units may be combined into a single unit. For example, thecenter point determination unit 1003, the link line determination unit1004, the boundary point determination unit 1005, and the split surfacedetermination unit 1006 may be combined into a single unit. In someembodiments, one or more units may be added or omitted in the orthosisdesign data determination module 403. For example, the orthosis designdata determination module 403 may further include a storage unit (notshown in FIG. 10 ) configured to store data and/or information (e.g., aspline curve, a center point, a link line) associated with the orthosisdesign system 100. As another example, the initialization unit 1001 maybe omitted.

FIG. 11 is a flowchart illustrating an exemplary process for splitting a3D model according to some embodiments of the present disclosure.Process 1100 may be executed by the orthosis design system 100. Forexample, process 1100 may be implemented as a set of instructions (e.g.,an application) stored in the storage device 150 in the orthosis designsystem 100. The processing device 114 may execute the set ofinstructions and may accordingly be directed to perform process 1100 inthe orthosis design system 100. The operations of the illustratedprocess 1100 presented below are intended to be illustrative. In someembodiments, process 1100 may be accomplished with one or moreadditional operations not described, and/or without one or more of theoperations discussed. Additionally, the order in which the operations ofprocess 1100 as illustrated in FIG. 11 and described below is notintended to be limiting.

In 1110, the processing device 114 (e.g., the initialization unit 1001)may initialize a 3D model.

In some embodiments, the 3D model may include a 3D model of a subject, a3D model of an orthosis, or the like, as described elsewhere in thepresent disclosure. In some embodiments, the processing device 114 mayobtain data associated with the 3D model. The data associated with the3D model may be used to construct the 3D model. In some embodiments, the3D model may be a 3D mesh structure where a plurality of 3D points (orvertices) are connected via edges (or lines) and faces (or polygons). Insome embodiments, the data associated with the 3D model may includepoint data, line data, face data, or the like, or any combinationthereof. The point data may include position information of a point,e.g., a position, an orientation, a distance between a point and anotherpoint. The line data may represent data of a plurality of lines, each ofwhich connects various points. The line data may include point data thata line includes, position information of a line (e.g., a positionrepresented by positions of two vertices, an orientation of a line, adistance between a line and another line), length information of a line,etc. The face data may represent data of one or more faces, each ofwhich formed by lines and/or points. The face data may include pointdata, line data that a face includes, position information of a face(e.g., a position of a face, an orientation of a face, a distancebetween a face and another face), a size of a face, a shape of a face(e.g., a triangle shape, a quadrilateral shape, a hexagon shape), etc.

In some embodiments, a position of a point in the 3D model may berepresented by model coordinates in a model coordinate system. The modelcoordinate system may refer to a coordinate system that describes shapesof a subject (e.g., a 3D model). In some embodiments, different modelcoordinate systems may be constructed for different 3D models. Forexample, for the model coordinate system of the 3D model in someembodiments of the present disclosure, an origin may be a center pointof the 3D model. The X-axis may be from a left side to a right side ofthe 3D model viewed from a direction facing the front of the 3D model.The Y-axis may be from a front side to a rear side of the 3D model. TheZ axis direction may be from a lower side to an upper side of the 3Dmodel.

In some embodiments, the processing device 114 may obtain the dataassociated with the 3D model from a storage device (e.g., the storagedevice 150) of the orthosis design system 100, or an external storagedevice. For example, the processing device 114 may obtain the dataassociated with the 3D model from a surface mesh stored in the storagedevice 150. As used herein, the surface mesh may refer to arepresentation of a surface that includes vertices, edges and faces. Insome embodiments, the surface mesh may store the data associated withthe 3D model in a 3D file format. Exemplary 3D file formats may includeSTL, OBJ, FBX, COLLADA, 3DS, IGES, STEP, VRML/X3D, etc.

In some embodiments, the processing device 114 may initialize one ormore camera parameters. Exemplary camera parameters may includeintrinsic parameters, extrinsic parameters, distortion parameters, etc.The intrinsic parameters of a camera may represent the optical,geometric, and digital characteristics of the camera. For example, theintrinsic parameters of a camera may include a camera focal length, anoptical center, etc. The extrinsic parameters of a camera may representthe relative location and orientation of the camera with respect to aworld coordinate system. As used herein, the world coordinate system mayrefer to a fixed coordinate system for representing a subject in theworld. For example, the extrinsic parameters of a camera may include atilt angle of the camera, a yaw angle of the camera, a height of thecamera above a plane of the scene captured by the camera, etc. Thedistortions of a camera may be caused by characteristics of optical lensof the camera and assembly errors; and the distortion parametersquantitatively reflect the distortion. For example, the distortionparameters of a camera may include a radial distortion coefficient, atangential distortion coefficient, etc.

In some embodiments, the initialized camera parameters may be used toperform a transformation between camera coordinates denoted by a cameracoordinate system and world coordinates denoted by the world coordinatesystem. As used herein, the camera coordinate system may refer to acoordinate system that uses the camera center as its origin and theoptic axis as the Z-axis. The X-axis and Y-axis of the camera coordinatesystem may define an image plane. In some embodiments, the initializedcamera parameters may be default parameter stored in a storage device(e.g., the storage device 150). In some embodiments, the initializedcamera parameters may be set manually by a user (e.g., an orthosisdesigner, a doctor) of the orthosis design system 100, or determined byone or more components (e.g., the processing device 114) of the orthosisdesign system 100 according to different situations. For example, theinitialized distortion parameters of the camera may be set as 0.

In some embodiments, the processing device 114 may determine an initialtransformation matrix between the model coordinate system and the worldcoordinate system. The initial transformation matrix may be used toperform a transformation between world coordinates denoted by the worldcoordinate system and model coordinates denoted by the model coordinatesystem.

In some embodiments, the processing device 114 may display the 3D modelon a screen of the terminal device 130. For example, the processingdevice 114 may display a front view of the 3D model on the screen of theterminal device 130. In some embodiments, a plurality of points of the3D model represented by a plurality of model coordinates may betransformed to a plurality of screen coordinates denoted by a screencoordinate system for display. As used herein, the screen coordinatesystem may refer to physical coordinates of pixels on a computer screen,based on a screen resolution. For the screen coordinate system, anorigin may be an upper-left corner point of the screen. The X-axis maybe from a left side to a right side of the screen, the Y-axis may befrom an upper side to a lower side of the screen. In some embodiments,the processing device 114 may transform the plurality of modelcoordinates to the plurality of screen coordinates based on theinitialized camera parameters and the initial transformation matrix. Forexample, the plurality of model coordinates may be transformed to aplurality of world coordinates based on the initial transformationmatrix. The plurality of world coordinates may be transformed to aplurality of camera coordinates based on the initialized cameraparameters. The plurality of camera coordinates may be transformed to aplurality of view coordinates. The plurality of view coordinates may betransformed to the plurality of screen coordinates. More descriptions ofthe coordinate transformations may be found elsewhere in the presentdisclosure (e.g., FIG. 13 and descriptions thereof).

In some embodiments, the processing device 114 may render the 3D modelbased on the data associated with the 3D model. As used herein,rendering may refer to a process of generating a photorealistic ornon-photorealistic image from a 2D or 3D model. In some embodiments, theprocessing device 114 may transform the data associated with the 3Dmodel stored in the surface mesh to a format that can be rendered. Forexample, the processing device 114 may transform the data associatedwith the 3D model stored in the surface mesh from the STL format to apolydata format. As used herein, polydata may refer to a surface meshstructure that can hold data arrays in points, cells or in the datasetitself. The processing device 114 may render the 3D model based on thedata associated with the 3D model with the polydata format according toone or more rendering algorithms. Exemplary rendering algorithms mayinclude a scanline rendering algorithm, a ray tracing algorithm, aluminous energy radiosity algorithm, a physically based renderingtechnique, a light field rendering technique, or the like, or anycombination thereof.

In 1120, the processing device 114 (e.g., the spline curve determinationunit 1002) may determine a spline curve associated with the 3D model.

In some embodiments, a spline curve may refer to a mathematicalrepresentation for which it is easy to build an interface that willallow a user to design and control the shape of complex curves andsurfaces. In some embodiments, the processing device 114 may determinethe spline curve based on a plurality of first coordinates input by auser in a screen coordinate system. In the present disclosure, eachfirst coordinate may correspond to a point input by the user, and theplurality of first coordinates may correspond to a plurality of pointsinput by the user. For example, in the screen coordinate system, aposition of a point may be represented by an X-axis coordinate and aY-axis coordinate. The X-axis coordinate and the Y-axis coordinate ofthe point may be referred to as a coordinate of the point.

For example, the processing device 114 may obtain a plurality of firstpoints input by the user via a terminal device (e.g., the terminaldevice 130). Each first point may be represented by screen coordinatesin the screen coordinate system. The processing device 114 may perform aspline interpolation operation on the plurality of first points todetermine a plurality of interpolation points. Each interpolation pointmay be represented by screen coordinates in the screen coordinatesystem. The processing device 114 may project the plurality ofinterpolation points on the 3D model to determine a plurality of secondpoints. Each second point may be represented by model coordinates in amodel coordinate system. The processing device 114 may connect theplurality of second points to generate the spline curve on the 3D model.More descriptions of the determination of the spline curve may be foundelsewhere in the present disclosure (e.g., FIG. 12 , and descriptionsthereof).

In some embodiments, the processing device 114 may obtain the pluralityof first points inputted by the user. The processing device 114 mayproject the plurality of first points on the 3D model to determine aplurality of projection points. Each projection point may be representedby model coordinates in the model coordinate system. The processingdevice 114 may perform a spline interpolation operation on the pluralityof projection points to determine the plurality of second points. Theprocessing device 114 may connect the plurality of second points togenerate the spline curve on the 3D model.

In 1130, for each second coordinate of the plurality of secondcoordinates, the processing device 114 (e.g., the center pointdetermination unit 1003) may determine a center point corresponding tothe second coordinate.

In the present disclosure, each second coordinate may correspond to apoint on the spline curve, and the plurality of second coordinates maycorrespond to a plurality of points on the spline curve of the 3D model.For example, in the model coordinate system, a position of a point maybe represented by an X-axis coordinate, a Y-axis coordinate, and aZ-axis coordinate. The X-axis coordinate, the Y-axis coordinate, and theZ-axis coordinate of the point may be referred to as a coordinate of thepoint.

In some embodiments, the processing device 114 may determine a centerpoint corresponding to a point on the spline curve based on modelcoordinates of the point. For example, the processing device 114 maydetermine the center point corresponding to the point by determining avalue of X-axis coordinate and a value of Y-axis coordinate of the pointas 0. For illustration purposes, if model coordinates of a specificpoint is (X1, Y1, Z1), the processing device 114 may set X1 and Y1 as 0,to determine model coordinates of a center point corresponding to thespecific point. That is, the model coordinates of the center point maybe (0, 0, Z1).

In some embodiments, the processing device 114 may determine the centerpoint corresponding to the point by projecting the point on a Z-axis ofthe model coordinate system. For example, the processing device 114 mayproject the point (e.g., a point 1, a point 2, a point 3, as illustratedin FIG. 14 ) on the Z axis of the model coordinate system, to generate aprojection point (e.g., a center 1, a center 2, a center 3, asillustrated in FIG. 14 ). The processing device 114 may determine theprojection point as the center point corresponding to the point.

In 1140, for each second coordinate of the plurality of secondcoordinates, the processing device 114 (e.g., the link linedetermination unit 1004) may determine a link line connecting the centerpoint and the corresponding second coordinate.

In some embodiments, the link line (e.g., a link line L1, a link lineL2, a link line L3 as illustrated in FIG. 14 ) may refer to a straightline passing through the second coordinate and the corresponding centerpoint. In some embodiments, the processing device 114 may automaticallyconnect the second coordinate and the corresponding center point togenerate the link line. In some embodiments, a user (e.g., an orthosisdesigner) of the orthosis design system 100 may manually connect thesecond coordinate and the corresponding center point to generate thelink line.

In 1150, for each second coordinate of the plurality of secondcoordinates, the processing device 114 (e.g., the boundary pointdetermination unit 1005) may determine a plurality of boundary pointsalong a direction of the link line.

In some embodiments, the plurality of boundary points may include aninner boundary point (e.g., a point a1, a point b1, a point c1, asillustrated in FIG. 15B) and an outer boundary point (e.g., a point a2,a point b2, a point c2, as illustrated in FIG. 15B). The inner boundarypoint may be located inside the 3D model. The outer boundary point maybe located outside the 3D model.

The processing device 114 may determine the inner boundary point byextending the second coordinate to the inside of the 3D model along thedirection of the link line. For example, the processing device 114 mayextend the second coordinate to the inside of the 3D model in a firstextension distance along the direction of the link line. The processingdevice 114 may determine the outer boundary point by extending thesecond coordinate to the outside of the 3D model along the direction ofthe link line. For example, the processing device 114 may extend thesecond coordinate to the outside of the 3D model in a second extensiondistance along the direction of the link line.

The first extension distance may be the same as or different from thesecond extension distance. The first extension distance (and/or thesecond extension distance) may be default parameter stored in a storagedevice (e.g., the storage device 150). In some embodiments, the firstextension distance (and/or the second extension distance) may be setmanually by a user (e.g., an orthosis designer, a doctor) of theorthosis design system 100, or determined by one or more components(e.g., the processing device 114) of the orthosis design system 100according to different situations. For example, the first extensiondistance (and/or the second extension distance) may be determined basedon a size (e.g., a length, a width) of the 3D model. In someembodiments, a relatively large size of the 3D model may correspond to arelatively large first extension distance and/or a relatively largesecond extension distance.

In 1160, the processing device 114 (e.g., the split surfacedetermination unit 1006) may generate a split surface based on all theboundary points corresponding to the plurality of second coordinates.

In some embodiments, the processing device 114 may generate a pluralityof split sub-surfaces by connecting the inner boundary points and theouter boundary points corresponding to the plurality of secondcoordinates. The split sub-surface may have any shape. For example, thesplit sub-surface may have a polygonal shape, such as a regulartriangle, a rectangle, a square, or a regular hexagon. The processingdevice 114 may generate the split surface by combining the plurality ofsplit sub-surfaces.

For illustration purposes, assuming that a spline curve includes aplurality of points, e.g., a point a, a point b, . . . , and a point n,the processing device 114 may determine an inner boundary point a1 andan outer boundary point a2 for the point a, an inner boundary point b1and an outer boundary point b2 for the point b, . . . , an innerboundary point n1 and an outer boundary point n2 for the point n. Theprocessing device 114 may generate a first triangle split sub-surface byconnecting the inner boundary point a1, the outer boundary point a2, andthe inner boundary point b1, sequentially. The processing device 114 maygenerate a second triangle split sub-surface by connecting the innerboundary point b1 and the outer boundary point b2. Similarly, theprocessing device 114 may generate a 2nth triangle split sub-surface byconnecting the outer boundary point n2 and the inner boundary point a1.Accordingly, the processing device 114 may generate a plurality oftriangle split sub-surface by alternately connecting the inner boundarypoints and the outer boundary points corresponding to the plurality ofpoints. The processing device 114 may combine the plurality of trianglesplit sub-surface (e.g., the first triangle split sub-surface, thesecond split sub-surface, . . . , and the 2nth triangle splitsub-surface) to generate the split surface. More descriptions of thegeneration of the split surface may be found elsewhere in the presentdisclosure (e.g., FIGS. 15A, 15B, and descriptions thereof).

In 1170, the processing device 114 (e.g., the splitting unit 1007) maysplit the 3D model based on the split surface

In some embodiments, the processing device 114 may generate at least twosub-models by splitting the 3D model based on the split surface. In someembodiments, the at least two sub-models may include a desired model,e.g., a 3D orthosis model, as described elsewhere in the presentdisclosure. In some embodiments, the processing device 114 may split the3D model based on the split surface according to one or more splittingalgorithms. Exemplary splitting algorithms may include a union setalgorithm, a difference set algorithm, an intersection algorithm, or thelike. In some embodiments, the processing device 114 may call a clipinterface in a computational geometry algorithm library (CGAL) to splitthe 3D model based on the split surface.

In some embodiments, the processing device 114 may render at least onesub-model (e.g., the desired model). In some embodiments, the processingdevice 114 may transform data associated with the at least one sub-modelstored in the surface mesh to a format that can be rendered. Forexample, the processing device 114 may transform the data associatedwith the at least one sub-model from a STL format to a polydata format.The processing device 114 may render the at least one sub-model based onthe data associated with the at least one sub-model with the polydataformat according to one or more rendering algorithms.

The processing device 114 may display the at least one renderedsub-model (e.g., the desired model) on a terminal device (e.g., theterminal device 130) associated with a user. For example, a 3D orthosismodel may be displayed on the terminal device 130. The 3D orthosis modelmay further be modified (e.g., split) by comparing the 3D orthosis modelwith one or more reference images of a subject. As another example, the3D orthosis model may be transmitted to a 3D printer for printing.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. In someembodiments, one or more operations may be omitted. For example,operation 1110 may be omitted. In some embodiments, one or moreoperations may be performed simultaneously. For example, operations 1130and 1140 may be performed simultaneously.

FIG. 12 is a flowchart illustrating an exemplary process for determininga spline curve according to some embodiments of the present disclosure.Process 1200 may be executed by the orthosis design system 100. Forexample, process 1200 may be implemented as a set of instructions (e.g.,an application) stored in the storage device 150 in the orthosis designsystem 100. The processing device 114 may execute the set ofinstructions and may accordingly be directed to perform process 1200 inthe orthosis design system 100. The operations of the illustratedprocess 1200 presented below are intended to be illustrative. In someembodiments, process 1200 may be accomplished with one or moreadditional operations not described, and/or without one or more of theoperations discussed. Additionally, the order in which the operations ofprocess 1200 as illustrated in FIG. 12 and described below is notintended to be limiting.

In 1210, the processing device 114 (e.g., the spline curve determinationunit 1002) may obtain a plurality of first coordinates input by a user.

In some embodiments, the processing device 114 may obtain the pluralityof first coordinates in real time or periodically (e.g., per 0.1seconds, pre 0.5 seconds). In some embodiments, the user may input theplurality of first coordinates via a terminal device (e.g., the terminaldevice 130). For example, the user may select (e.g., click) a pluralityof points on a 3D model displayed on a screen of a terminal device(e.g., the terminal device 130) via a mouse or a finger. In someembodiments, the user may select the plurality of points on the 3D modelwhile rotating the 3D model. The processing device 114 may obtain aplurality of screen coordinates (e.g., the plurality of firstcoordinates) corresponding to the plurality of selected points in ascreen coordinate system. In some embodiments, the processing device 114may transform the plurality of screen coordinates of the plurality ofselected points to a plurality of view coordinates in a view coordinatesystem. The processing device 114 may store the plurality of viewcoordinates in a storage device (e.g., the storage device 150) of theorthosis design system 100, or an external storage device for furtherprocessing. More descriptions of the coordinate transformations may befound elsewhere in the present disclosure (e.g., FIG. 13 anddescriptions thereof).

In 1220, the processing device 114 (e.g., the spline curve determinationunit 1002) may determine a plurality of third coordinates by performinga spline interpolation operation on the plurality of first coordinates.

As used herein, spline interpolation may refer to a form ofinterpolation where the interpolant is a special type of piecewisepolynomial called a spline. Exemplary spline interpolation operationsmay include a cubic B-spline interpolation, a Bezier curveinterpolation, a catmull-rom curve interpolation, or the like.

In the present disclosure, each third coordinate may correspond to aninterpolation point, and the plurality of third coordinates maycorrespond to a plurality of interpolation points. For example, in thescreen coordinate system, a position of an interpolation point may berepresented by an X-axis coordinate and a Y-axis coordinate. The X-axiscoordinate and the Y-axis coordinate of the interpolation point may bereferred to as a third coordinate of the interpolation point.

In some embodiments, the processing device 114 may perform the splineinterpolation operation on the plurality of first coordinates after theplurality of first coordinates are all input by the user. In someembodiments, the processing device 114 may perform the splineinterpolation operation on the plurality of first coordinates in realtime. For example, a user may input a plurality of input points, e.g., afirst input point, a second input point, a third input point, . . . ,and a nth input point, via a terminal device (e.g., the terminal device130) sequentially. After the second input point is input by the user,the processing device 114 may perform the spline interpolation operationon the first input point and the second input point, to determine afirst group of interpolation points. After the third input point isinput by the user, the processing device 114 may perform the splineinterpolation operation on the second input point and the third inputpoint, to determine a second group of interpolation points. Similarly,after the nth input point is input by the user, the processing device114 may perform the spline operation on the (n−1)th input point and thenth input point, to determine a (n−1)th group of interpolation points.The processing device 114 may perform the spline operation on the nthinput point and the first input point, to determine a nth group ofinterpolation points. In some embodiments, the processing device 114 maydetermine a plurality of screen coordinates of the plurality of groupsof the interpolation points (e.g., the first group of interpolationpoints, the second group of interpolation points, . . . , the nth groupof interpolation points) as the plurality of third coordinates. In someembodiments, the processing device 114 may determine a plurality ofscreen coordinates of the plurality of groups of the interpolationpoints (e.g., the first group of interpolation points, the second groupof interpolation points, . . . , the nth group of interpolation points)and the plurality of input points, as the plurality of thirdcoordinates.

In 1230, the processing device 114 (e.g., the spline curve determinationunit 1002) may determine the plurality of second coordinates byprojecting the plurality of third coordinates on a 3D model.

In some embodiments, the processing device 114 may determine theplurality of second coordinates based on the plurality of thirdcoordinates according to one or more coordinate transformationoperations. For example, the processing device 114 may transform theplurality of third coordinates in the screen coordinate system to aplurality of fourth coordinates in a view coordinate system. Theprocessing device 114 may transform the plurality of fourth coordinatesin the view coordinate system to a plurality of fifth coordinates in acamera coordinate system. The processing device 114 may transform theplurality of fifth coordinates in the camera coordinate system to aplurality of sixth coordinates in the world coordinate system. Theprocessing device 114 may transform the plurality of sixth coordinatesin the world coordinate system to the plurality of second coordinates inthe model coordinate system. More descriptions of the coordinatetransformation operations may be found elsewhere in the presentdisclosure (e.g., FIG. 13 , and descriptions thereof).

In 1240, the processing device 114 (e.g., the spline curve determinationunit 1002) may determine a spline curve by connecting the plurality ofsecond coordinates.

In some embodiments, the plurality of second coordinates may beconnected manually by a user (e.g., an orthosis designer). For example,a user may draw a line passing through the plurality of secondcoordinates on the 3D model displayed on the screen of the terminaldevice 130 to generate the spline curve. In some embodiments, theplurality of second coordinates may be connected automatically by one ormore components (e.g., the processing device 114) of the orthosis designsystem 100. For example, the processing device 114 may connect theplurality of second coordinates by using a CATScript program.Specifically, the plurality of second coordinates may be transformedinto a plurality of coordinate scripts via the CATScript program. Thespline curve may be generated based on the plurality of coordinatescripts.

According to some embodiments of the present disclosure, by performingthe spline interpolation operation on the plurality of first coordinatesinput by the user, the plurality of third coordinates may be determined.The plurality of second coordinates may be determined by projecting theplurality of third coordinates on the 3D model, and accordingly arelatively smooth spline curve may be generated based on the pluralityof second coordinates.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

FIG. 13 is a flowchart illustrating an exemplary process for determininga plurality of second coordinates on a spline curve according to someembodiments of the present disclosure. Process 1300 may be executed bythe orthosis design system 100. For example, process 1300 may beimplemented as a set of instructions (e.g., an application) stored inthe storage device 150 in the orthosis design system 100. The processingdevice 114 may execute the set of instructions and may accordingly bedirected to perform process 1300 in the orthosis design system 100. Theoperations of the illustrated process 1300 presented below are intendedto be illustrative. In some embodiments, process 1300 may beaccomplished with one or more additional operations not described,and/or without one or more of the operations discussed. Additionally,the order in which the operations of process 1300 as illustrated in FIG.13 and described below is not intended to be limiting.

In 1310, the processing device 114 (e.g., the spline curve determinationunit 1002) may transform a plurality of third coordinates in a screencoordinate system to a plurality of fourth coordinates in a viewcoordinate system.

The view coordinate system may refer to a coordinate system forobserving a 3D object at different distances and angles. The viewcoordinate system may be a three-dimensional coordinate system. The viewcoordinate system may describe a 3D object (e.g., a 3D model) withrespect to a viewer (e.g., a camera), and may be defined by a viewpointof the viewer.

In some embodiments, the processing device 114 may transform theplurality third coordinates (e.g., a plurality of screen coordinates) tothe plurality of fourth coordinates (e.g., a plurality of viewcoordinates) based on depth information associated with the plurality ofthird coordinates. As used herein, the depth information associated witha point may reflect a Z-axis value of the point in the screen coordinatesystem. The Z-axis of the screen coordinate system may point out of thescreen or into the screen. In some embodiments, the depth informationmay be determined using an open graphics library (OpenGL). For example,the depth information associated with screen coordinates may bedetermined using a glReadPixels function in the OpenGL. As used herein,OpenGL may refer to a cross-language, cross-platform applicationprogramming interface (API) for rendering 2D and 3D vector graphics.

In 1320, the processing device 114 (e.g., the spline curve determinationunit 1002) may transform the plurality of fourth coordinates in the viewcoordinate system to a plurality of fifth coordinates in a cameracoordinate system

In some embodiments, the processing device 114 may transform theplurality of fourth coordinates (e.g., the plurality of viewcoordinates) to the plurality of fifth coordinates (e.g., a plurality ofcamera coordinates) based on a projection matrix. For example, theprocessing device 114 may determine the plurality of fifth coordinatesby multiplying the plurality of fourth coordinates with the projectionmatrix.

In some embodiments, the projection matrix may be related to a pluralityof parameters (e.g., a plurality of intrinsic parameters) of a camera.For example, the plurality of intrinsic parameters of the camera mayform the projection matrix. The projection matrix may be used to performa transformation between view coordinates denoted by the view coordinatesystem and camera coordinates denoted by the camera coordinate system.

In some embodiments, the projection matrix may be manually set by a userof the orthosis design system 100, or determined by one or morecomponents (e.g., the processing device 114) of the orthosis designsystem 100. In some embodiments, the projection matrix may be stored inone or more storage devices (e.g., the storage device 150) of theorthosis design system 100. The processing device 114 may access the oneor more storage devices and retrieve the projection matrix.

In 1330, the processing device 114 (e.g., the spline curve determinationunit 1002) may transform the plurality of fifth coordinates in thecamera coordinate system to a plurality of sixth coordinates in a worldcoordinate system.

In some embodiments, the processing device 114 may transform theplurality of fifth coordinates (e.g., the plurality of cameracoordinates) to the plurality of sixth coordinates (e.g., a plurality ofworld coordinates) based on a view matrix. For example, the processingdevice 114 may determine the plurality of sixth coordinates bymultiplying the plurality of fifth coordinates with the view matrix.

In some embodiments, the view matrix may be related to a plurality ofparameters (e.g., a plurality of extrinsic parameters) of the camera.For example, the plurality of extrinsic parameters of the camera mayform the view matrix. The view matrix may be used to perform atransformation between world coordinates denoted by the world coordinatesystem and camera coordinates denoted by the camera coordinate system.

In some embodiments, the view matrix may be manually set by a user ofthe orthosis design system 100, or determined by one or more components(e.g., the processing device 114) of the orthosis design system 100. Insome embodiments, the view matrix may be stored in one or more storagedevices (e.g., the storage device 150) of the orthosis design system100. The processing device 114 may access the one or more storagedevices and retrieve the view matrix.

In 1340, the processing device 114 (e.g., the spline curve determinationunit 1002) may transform the plurality of sixth coordinates in the worldcoordinate system to the plurality of second coordinates in the modelcoordinate system.

In some embodiments, the processing device 114 may transform theplurality of sixth coordinates (e.g., the plurality of worldcoordinates) to the plurality of second coordinates (e.g., a pluralityof model coordinates) based on a model matrix. The model matrix may be atransformation matrix that translates, scales and/or rotates a 3D modelto place it in a world space at a location/orientation it belongs to.For example, the processing device 114 may determine the plurality ofsecond coordinates by multiplying the plurality of sixth coordinateswith an inverse of the model matrix.

In some embodiments, the model matrix may be manually set by a user ofthe orthosis design system 100, or determined by one or more components(e.g., the processing device 114) of the orthosis design system 100. Insome embodiments, the model matrix may be stored in one or more storagedevices (e.g., the storage device 150) of the orthosis design system100. The processing device 114 may access the one or more storagedevices and retrieve the model matrix.

In some embodiments, the processing device 114 may perform a ray castingoperation on the plurality of second coordinates according to a raycasting algorithm. As used herein, ray casting may be the use ofray-surface intersection tests to solve a variety of problems in 3Dcomputer graphics and computational geometry. The ray casting may be acomputer graphics rendering algorithm that use the geometric algorithmof ray tracing. Ray tracing-based rendering algorithms may operate inimage order to render 3D scenes to 2D images.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. In someembodiments, model coordinates may be transformed to screen coordinates.In some embodiments, the model coordinates in the model coordinatesystem may be transformed to world coordinates based on the modelmatrix. For example, the world coordinates may be determined bymultiplying the model coordinates with the model matrix. The worldcoordinates may be transformed to camera coordinates based on the viewmatrix. For example, the camera coordinates may be determined bymultiplying the world coordinates with an inverse of the view matrix.The camera coordinates may be transformed to view coordinates based onthe projection matrix. For example, the view coordinates may bedetermined by multiplying the camera coordinates with an inverse of theprojection matrix. The view coordinates may be transformed to the screencoordinate by performing a viewport transformation operation on the viewcoordinates. As used herein, a viewport transformation may refer to aprocess of mapping view coordinates to screen coordinates where eachcoordinate corresponds to a point on a screen. For example, the viewcoordinates may be transformed to screen coordinates by performing theviewport transformation operation on the view coordinates using theOpenGL.

FIG. 14 is a schematic diagram illustrating an exemplary process fordetermining a center point according to some embodiments of the presentdisclosure.

As illustrated in FIG. 14, 1401 refers to a 3D model of a human body.The 3D model 1401 may be positioned in a model coordinate system. Anorigin (not shown in FIG. 14 ) of the model coordinate system may be acenter point of the 3D model 1401. A positive X axis direction (notshown in FIG. 14 ) may be from a right side to a left side of the 3Dmodel 1401 viewed from the direction facing the front of the 3D model1401. A positive Y axis direction (not shown in FIG. 14 ) may be from afront side to a rear side of the 3D model 1401. A positive Z axisdirection may be from an upper side to a lower side of the 3D model1401.

As illustrated in FIG. 14, 1402 refers to a spline curve associated withthe 3D model 1401. The spline curve 1401 includes a plurality of points,e.g., a first point P1, a second point P2, and a third point P3. Theprocessing device 114 may project the first point P1 on the Z-axis ofthe model coordinate system, to generate a first center point C1corresponding to the first point P1. The processing device 114 maydetermine a first link line L1 connecting the first point P1 and thefirst center point C1. The processing device 114 may project the secondpoint P2 on the Z-axis of the model coordinate system, to generate asecond center point C2 corresponding to the second point P2. Theprocessing device 114 may determine a second link line L2 connecting thesecond point P2 and the second center point C2. The processing device114 may project the third point P3 on the Z-axis of the model coordinatesystem, to generate a third center point C3 corresponding to the thirdpoint P3. The processing device 114 may determine a third link line L3connecting the third point P3 and the third center point C3.

FIG. 15A is a schematic diagram illustrating an exemplary split surfaceaccording to some embodiments of the present disclosure. FIG. 15B is anenlarged view of the region A shown in FIG. 15A according to someembodiments of the present disclosure.

As illustrated in FIG. 15A, 1501 refers to a split surface. The splitsurface includes a plurality of triangle split sub-surface. Theplurality of triangle split sub-surface may be determined based on aplurality of inner boundary points and a plurality of outer boundarypoints corresponding to a plurality of points on a spline curve (notshown in FIGS. 15A and 15B).

As shown in FIG. 15B, a1 and a2 refer to an inner boundary point and anouter boundary point for a first point (not shown in FIGS. 15A and 15B)on the split curve, respectively, b1 and b2 refer to an inner boundarypoint and an outer boundary point for a second point (not shown in FIGS.15A and 15B) on the split curve, respectively, c1 and c2 refer to aninner boundary point and an outer boundary point for a third point (notshown in FIGS. 15A and 15B) on the split curve. The processing device114 may generate a first triangle split sub-surface s1 by connecting theinner boundary point a1, the outer boundary point a2, and the innerboundary point b1, sequentially. The processing device 114 may generatea second triangle split sub-surface s2 by connecting the inner boundarypoint b1 and the outer boundary point b2. The processing device 114 maygenerate a third triangle split sub-surface by connecting the outerboundary point b2 and the inner boundary point c1. The processing device114 may generate a fourth triangle split sub-surface by connecting theinner boundary point c1 and the outer boundary point c2. Similarly, theprocessing device 114 may generate the plurality of triangle splitsub-surface by alternately connecting the plurality inner boundarypoints and the plurality of outer boundary points corresponding to theplurality of points on the spline curve. The processing device 114 maycombine the plurality of triangle split sub-surface (e.g., the firsttriangle split sub-surface s1, the second split sub-surface s2, thethird split sub-surface s3, the fourth split sub-surface s4) to generatethe split surface 1501.

FIG. 16 is a schematic diagram illustrating exemplary 3D sub-modelsaccording to some embodiments of the present disclosure.

As illustrated in FIG. 16, 1602 refers to a split surface of a 3D model1601. The 3D model 1601 may be split into two 3D sub-models (e.g., a 3Dsub-model 1603 and a 3D sub-model 1604) based on the split surface 1602.In some embodiments, the 3D sub-model 1604 may be deleted, and the 3Dsub-model may be displayed on an interface of a terminal device of auser.

FIG. 17 is a block diagram illustrating an exemplary data managementsystem according to some embodiments of the present disclosure. In someembodiments, a data management system 1700 may include an importingmodule 1701, a storage module 1702, and a printing module 1703. Themodules may be hardware circuits of at least part of the data managementsystem 1700. The modules may also be implemented as an application orset of instructions read and executed by the data management system1700. Further, the modules may be any combination of the hardwarecircuits and the application/instructions. For example, the modules maybe part of the data management system 1700 when the data managementsystem 1700 is executing the application or set of instructions. In someembodiments, the data management system 1700 may be part of the orthosisdesign system 100.

The data management system 1700 may be configured to manage dataassociated with the orthosis design system 100. The data associated withthe orthosis design system 100 may include identification information ofthe subject (e.g., an identification (ID) number of the subject, a nameof the subject, the gender of the subject, the age of the subject, aportion of the subject to be corrected), image data of the subject, a 3Dmodel of the subject, orthosis design data, housing design dataassociated with a housing of the orthosis, a 3D printing parameter ofthe orthosis, or the like, or any combination thereof.

The importing module 1701 may be configured to import data associatedwith the orthosis design system 100. In some embodiments, the importingmodule 1701 may import data associated with a subject from a localdatabase. In some embodiments, the importing module 1701 may import dataassociated with a subject from a web database. In some embodiments, theimporting module 1701 may generate a patient list for a subject. In someembodiments, the importing module 1701 may be a first terminal deviceassociated with a first type of user (e.g., a doctor) in the orthosisdesign system 100.

The storage module 1702 may be configured to store data associated withthe orthosis design system 100. In some embodiments, the storage module1702 may serialize data associated with an orthosis in an orthosisdesign process. In some embodiments, the storage module 1702 may storethe serialized data associated with the orthosis in a local database. Insome embodiments, the storage module 1702 may store the serialized dataassociated with the orthosis in a web database. In some embodiments, thestorage module 1702 may be a second terminal device associated with asecond type of user (e.g., an orthosis designer) in the orthosis designsystem 100.

The printing module 1703 may be configured to print an orthosis. In someembodiments, the printing module 1703 may obtain data associated with anorthosis. In some embodiments, the printing module 1703 may obtain aplurality of 3D printing parameters associated with an orthosis. In someembodiments, the printing module 1703 may transmit design dataassociated with an orthosis and/or a plurality of 3D print parametersassociated with the orthosis to a 3D print database. In someembodiments, the printing module 1703 may be a third terminal deviceassociated with a third type of user (e.g., a 3D print manufacturer) inthe orthosis design system 100.

It should be noted that the above description of the data managementsystem 1700 is merely provided for the purposes of illustration, and notintended to limit the scope of the present disclosure. For personshaving ordinary skills in the art, multiple variations and modificationsmay be made under the teachings of the present disclosure. However,those variations and modifications do not depart from the scope of thepresent disclosure. In some embodiments, one or more modules may beadded or omitted in the data management system 1700. For example, theprinting module 1703 may be omitted. The orthosis design system 100 mayinclude a 3D printing device. The 3D printing device may print theorthosis based on data associated with the orthosis and/or a pluralityof 3D printing parameters associated with the orthosis.

FIG. 18 is a flowchart illustrating an exemplary process for importingdata associated with a subject according to some embodiments of thepresent disclosure. The process 1800 may be executed by the importingmodule 1701 of the data management system 1700. For example, process1800 may be implemented as a set of instructions stored in a storagedevice in the data management system 1700. The importing module 1701 mayexecute the set of instructions and accordingly be directed to performthe process 1800 in the data management system 1700. The operations ofthe illustrated process 1800 presented below are intended to beillustrative. In some embodiments, the process 1800 may be accomplishedwith one or more additional operations not described, and/or without oneor more of the operations discussed. Additionally, the order in whichthe operations of the process 1800 as illustrated in FIG. 18 anddescribed below is not intended to be limiting.

In 1810, the importing module 1701 may import data associated with asubject from a local database.

In some embodiments, the data associated with the subject anidentification (ID) number of the subject, a name of the subject, thegender of the subject, the age of the subject, an address of thesubject, a phone number of the subject, a height of the subject, aweight of the subject, a portion of the subject to be corrected, imagedata associated with the subject, a 3D model associated with thesubject, a reference image associated with the subject, a description ofmedical service or medication that is supplied to the subject (e.g., anexamination date, a scan date), or the like, or any combination thereof.

In some embodiments, the importing module 1701 may import the dataassociated with the subject from one or more components (e.g., theterminal device 130) of the orthosis design system 100. For example, theterminal device 130 may obtain image data associated with the subjectfrom the data obtaining device 110 via the network 120. The importingmodule 1701 may import the image data associated with the subject fromthe terminal device 130.

In 1820, the importing module 1701 may import the data associated withthe subject from a web database.

In some embodiments, the importing module 1701 may import the dataassociated with the subject from the web database via the network 120.For example, the data associated with the subject may be serialized. Theserialized data associated with the subject may be transmitted from theweb databased to the importing module 1701. The serialized dataassociated with the subject may be deserialized in the importing module1701. In some embodiments, the data associated with the subject may beimported in the importing module 1701 in a bookmark mode.

In 1830, the importing module 1701 may generate a patient list for thesubject.

As used herein, a patient list may refer to all records, documents,lists, electronic media, or any other method of recordation that shows aperson to whom a doctor supplies a medical service. In some embodiments,the patient list may include the data associated with the subject, asillustrated in FIG. 23 .

For illustration purposes, a user (e.g., a doctor) may log in the datamanagement system 1700 via a browser on the terminal device 130. Theuser may generate, edit, modify and/or delete a patient list for asubject in the data management system 1700. For example, the user mayimport data associated with the subject (e.g., a 3D model, a referenceimage) from a local database and/or a web database. The user may selectand view the data associated with the subject on an interface of theterminal device 130.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. For example,operations 1810 and 1820 may be performed simultaneously. As anotherexample, operation 1820 may be performed before operation 1810.

FIG. 19 is a flowchart illustrating an exemplary process for storingdata associated with an orthosis according to some embodiments of thepresent disclosure. The process 1900 may be executed by the storagemodule 1702 of the data management system 1700. For example, process1900 may be implemented as a set of instructions stored in a storagedevice in the data management system 1700. The storage module 1702 mayexecute the set of instructions and accordingly be directed to performthe process 1900 in the data management system 1700. The operations ofthe illustrated process 1900 presented below are intended to beillustrative. In some embodiments, the process 1900 may be accomplishedwith one or more additional operations not described, and/or without oneor more of the operations discussed. Additionally, the order in whichthe operations of the process 1900 as illustrated in FIG. 19 anddescribed below is not intended to be limiting.

In 1910, the storage module 1702 may serialize data associated with anorthosis in an orthosis design process.

As used herein, data serialization may refer to a process of translatingdata structures or object state into a format that can be stored (e.g.,in a file or memory buffer) or transmitted (e.g., across a networkconnection link) and reconstructed later (e.g., in a different computerenvironment).

In some embodiments, during the orthosis design process, the dataassociated with the orthosis may be generated. The data associated withthe orthosis may include orthosis design data, housing design data, aspline curve associated with an orthosis model, a split surface of theorthosis model, or the like, or any combination thereof. The storagemodule 1702 may convert the data associated with the orthosis into asequence of bytes which can be stored in a database or can betransmitted through the network 120.

In 1920, the storage module 1702 may store the serialized dataassociated with the orthosis in a local database. In some embodiments,the storage module 1702 may store the serialized data associated withthe orthosis in the terminal device 130.

In 1930, the storage module 1702 may store the serialized dataassociated with the orthosis in a web database. In some embodiments, thestorage module 1702 may store the serialized data associated with theorthosis in the web database via the network 120.

In some embodiments, the storage module 1702 may store the serializeddata associated with the orthosis in the local database and/or the webdatabase automatically. For example, the storage module 1702 may storethe serialized data associated with the orthosis in the local databaseand/or the web database in real time. As another example, the storagemodule 1702 may store the serialized data associated with the orthosisin the local database and/or the web database periodically (e.g., per 5seconds, pre 10 seconds). In some embodiments, the storage module 1702may store the serialized data associated with the orthosis in the localdatabase and/or the web database in response to a request for storagefrom a user. For example, when the user presses or clicks a “save”button on an interface of the terminal device 130, the storage module1702 may store the serialized data associated with the orthosis in thelocal database and/or the web database.

For illustration purposes, a user (e.g., an orthosis designer) may login the orthosis design system 100 via a browser on a terminal device(e.g., the terminal device 130). The user may view data associated witha subject (e.g., a patient list) imported by another user (e.g., adoctor) via the browser. The user may design an orthosis model based onthe data associated with the subject. In some embodiments, during theorthosis design process, the user may generate, edit, modify and/ordelete the data associated with the orthosis in the orthosis designsystem 100. For example, the user may determine orthosis design databased on a 3D model of a subject and one or more reference images of thesubject. The orthosis design data may be stored in the local databaseand/or the web databased automatically.

In some embodiments, a plurality of users (e.g., a plurality of orthosisdesigners) may design the orthosis model collaboratively. For example, afirst user may determine first orthosis design data associated with afirst part of orthosis model via a browser on a first terminal device inthe orthosis design system 100. The first orthosis design dataassociated with the first part of orthosis model may be stored in thelocal database and/or the web database. A second user may determinesecond orthosis design data associated with a second part of orthosismodel via a browser on a second terminal device in the orthosis designsystem 100. The second orthosis design data associated with the secondpart of orthosis model may be stored in the local database and/or theweb database. A third user may view the first orthosis design data andthe second orthosis design data via a browser on a third terminal devicein the orthosis design system 100. The third user may determine a 3Dorthosis model based on the first orthosis design data and the secondorthosis design data. In some embodiments, the first terminal device maybe located in a first location. The second terminal device may belocated in a second location. The third terminal device may be locatedin a third location. The first location, the second location, and thethird location may be different form each other.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. For example,operations 1910 and 1920 may be performed simultaneously. As anotherexample, operation 1920 may be performed before operation 1910.

FIG. 20 is a flowchart illustrating an exemplary process fortransmitting data to a 3D print database according to some embodimentsof the present disclosure. The process 2000 may be executed by theprinting module 1703 of the data management system 1700. For example,process 2000 may be implemented as a set of instructions stored in astorage device in the data management system 1700. The printing module1703 may execute the set of instructions and accordingly be directed toperform the process 2000 in the data management system 1700. Theoperations of the illustrated process 2000 presented below are intendedto be illustrative. In some embodiments, the process 2000 may beaccomplished with one or more additional operations not described,and/or without one or more of the operations discussed. Additionally,the order in which the operations of the process 2000 as illustrated inFIG. 20 and described below is not intended to be limiting.

In 2010, the printing module 1703 may obtain data associated with anorthosis.

In some embodiments, the data associated with the orthosis may includeorthosis design data, housing design data, a spline curve associatedwith an orthosis model, a split surface of the orthosis model, or thelike, or any combination thereof. In some embodiments, the printingmodule 1703 may obtain the data associated with the orthosis from one ormore components (e.g., the terminal device 130, the data obtainingdevice 110, the storage device 150) of the orthosis design system 100 oran external storage device (e.g., a web database) via the network 120.For example, the processing device 114 may transmit the data associatedwith the orthosis to the storage device 150, or any other storage devicefor storage. The printing module 1703 may obtain the data associatedwith the orthosis from the storage device 150, or any other storagedevice. As another example, the processing device 114 may transmit thedata associated with the orthosis to the printing module 1703 directly.

In 2020, the printing module 1703 may obtain a plurality of 3D printingparameters associated with the orthosis.

In some embodiments, the plurality of 3D printing parameters associatedwith the orthosis may include a printing material, a printingorientation, a layer thickness, a printing orientation angle, a fillingratio, a filament feed rate, or the like, or any combination thereof. Insome embodiments, the plurality of 3D printing parameters may be defaultparameter stored in a storage device (e.g., the storage device 150). Insome embodiments, the plurality of 3D printing parameters may be setmanually by a user (e.g., an orthosis designer, a doctor) of theorthosis design system 100, or determined by one or more components(e.g., the processing device 114) of the orthosis design system 100according to different situations. For example, the plurality of 3Dprinting parameters may be determined based on a portion of the subjectto be corrected.

In 2030, the printing module 1703 may transmit the design dataassociated with the orthosis and the plurality of 3D print parametersassociated with the orthosis to a 3D print database.

In some embodiments, the printing module 1703 may transmit the designdata associated with the orthosis and the plurality of 3D printparameters associated with the orthosis to a cloud print database of aprint manufacturer via the network 120. The print manufacturer may viewthe design data associated with the orthosis and the plurality of 3Dprint parameters associated with the orthosis via a browser on aterminal device (e.g., the terminal device 130) in the orthosis designsystem 100. The print manufacturer may print the orthosis based on thedesign data associated with the orthosis and the plurality of 3D printparameters associated with the orthosis via a 3D printing device.

Accordingly, a plurality of users (e.g., a doctor, an orthosis designer,a 3D print manufacturer) of the orthosis design system 100 may designand/or print an orthosis for a subject via a plurality of browsers on aplurality of terminal devices (e.g., the plurality of terminal devices130) collaboratively. The orthosis design and print process may besimplified, and the orthosis production efficiency may be improved.

It should be noted that the above description is merely provided for thepurpose of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. For example,operations 2010 and 2020 may be performed simultaneously. As anotherexample, operation 2020 may be performed before operation 2010. As stillanother example, operation 2030 may be omitted. The printing module 1703may be a 3D printing device. The 3D printing device may print theorthosis based on the data associated with the orthosis and theplurality of 3D printing parameters associated with the orthosis.

FIG. 21 is a schematic diagram illustrating an exemplary cloud designsystem according to some embodiments of the present disclosure.

As shown in FIG. 21 , a cloud design system 2100 may include a datainteraction equipment 140, the server 144, and a file server 145. Thedata interaction equipment 140 may include a first load balancing device141, a data interaction device cluster 142, and a second load balancingdevice 143. The data interaction device cluster 142 may include one ormore data interaction devices, e.g., a data interaction device 142-1, adata interaction device 142-2, and a data interaction device 142-3. Insome embodiments, the server 144 may be a server group. For example, theserver 144 may include a plurality of servers, e.g., a server 144-1, aserver 144-2, and a server 144-3. In some embodiments, the terminaldevice 130 may communicate with the data interaction equipment 140(e.g., the first load balancing device 141, the data interaction devicecluster 142, the second load balancing device 143) via a browser.

The first load balancing device 141 may communicate with the terminaldevice 130. The first load balancing device 141 may receive data fromthe terminal device 130, and transmit the received data to at least onedata interaction device (e.g., the data interaction device 142-1, thedata interaction device 142-2, the data interaction device 142-3) of thedata interaction device cluster 142 according to a load balancingmechanism. The data received from the terminal device 130 may includeone or more requests for orthosis design. As used herein, load balancingmay improve a distribution of workloads across multiple computingresources, such as computers, a computer cluster, network links, centralprocessing units, or disk drives. Load balancing may aim to optimizeresource use, maximize throughput, minimize response time, and avoidoverload of any single resource.

The data interaction device (e.g., the data interaction device 142-1,the data interaction device 142-2, the data interaction device 142-3)may be configured to determine one or more requests for orthosis designbased on the data obtained from the terminal device 130. In someembodiments, the one or more requests for orthosis design may include amedical image of a subject to be corrected, a 3D model of the subject tobe corrected, a reference image of the subject to be corrected, apatient ID of the subject to be corrected (e.g., an ID number), adescription of the subject to be corrected (e.g., a left tibia, the 3rdto 6th lumbar vertebrae), or the like, or any combination thereof.

The second load balancing device 143 may communicate with the datainteraction device cluster 142. The second load balancing device 143 maybe configured to transmit the request for orthosis design to the atleast one server (e.g., the server 144-1, the server 144-2, and theserver 144-3), according to the load balancing mechanism.

The server 144 (e.g., the server 144-1, the server 144-2, and the server144-3) may communicate with the data obtaining device 110. The server144 may be configured to perform one or more operations in process 500to process 700, process 1100 to process 1300, in response to the requestfor orthosis design. In some embodiments, the server 144 may obtainimage data from the data obtaining device 110 based on the request fororthosis design. In some embodiments, the server 144 may obtain imagedata from the file server 145.

The file server 145 may be configured to store image data obtained bythe data obtaining device 110. In some embodiments, the data obtainingdevice 110 may include a DR device, a 3D camera, a CT device, an MRIdevice, or the like, as described elsewhere in the present disclosure.In some embodiments, the file server 145 may include a PACS.

For illustration purposes, when a user needs to perform an orthoticsdesign operation, the user may send a request for orthosis design andestablish an orthosis design task by accessing the data interactionequipment 140 via a network port (e.g., a browser on a terminal device).The data interaction equipment 140 may receive the request and theorthosis design task, and send the orthosis design task to an orthosisdesign server (e.g., the server 144). The orthosis design server (e.g.,the server 144) may receive an instruction to design the orthosis for asubject. When a plurality of users need to perform the orthotics designoperation, the plurality of users may send a plurality of requests fororthosis design and establish a plurality of orthosis design tasks via aplurality of terminal devices (e.g., browsers on the plurality ofterminal devices). The data interaction equipment 140 may allocate anetwork resource load of the orthotics design server (e.g., the server144-1, the server 144-2, and the server 144-3) according to a pre-setload balancing strategy. Accordingly, a plurality of orthosis designservers (e.g., the server 144-1, the server 144-2, and the server 144-3)may process the plurality of design orthosis tasks for the plurality ofterminal devices synchronously. For example, the data interactionequipment 140 may allocate the orthosis design task to an orthosisdesign server that is idle or has a relatively small amount of tasks,according to an orthosis design server polling mechanism.

According to some embodiments of the present disclosure, orthosis designdata may be generated based on reference image(s) and 3D model of thesubject. The orthosis design data may be altered based on force data ofat least one region of the subject after wearing the orthosis.Therefore, the orthosis generated based on the orthosis design data maymeet correction needs of a user. In addition, one or more users may sendone or more requests for orthosis design to a data interaction equipment(e.g. the data interaction equipment 140) via browsers on one or moreterminal devices (e.g., the terminal device 130). The data interactionequipment may receive the one or more requests send the one or morerequests to one or more orthosis design servers (e.g., the server 144).The one or more orthosis design servers may perform one or moreoperations in an orthosis design process, in response to the one or morerequests for orthosis design. Accordingly, the orthosis design processmay be simplified, and a collaborative design of the orthosis by aplurality of users associated with a plurality of terminal devices maybe achieved.

FIG. 22 is a schematic diagram illustrating an exemplary orthosis designsystem according to some embodiments of the present disclosure.

As shown in FIG. 22 , an orthosis design system 2200 may include aterminal device 130, a server 144, a reverse proxy 2220 (e.g., a nginx),and a DNS server 2210. In some embodiments, the server 144 may be aserver group. The server 144 may include a plurality of servers, e.g., aserver 144-1, a server 144-2, . . . , and a server 144-n.

The terminal device 130 may be configured to send data (e.g., one ormore requests for orthosis design) to the reverse proxy 2220. In someembodiments, the terminal device 130 may communicate with the reverseproxy 2220 via a browser. For example, a user associated with theterminal device 130 may input a domain name in the browser on theterminal device 130. The browser may send the domain name to the DNSserver 2210. The DNS server 2210 may translate the domain name into anIP address. For illustration purposes, the DNS server 2210 may translatea domain name “Uihweb3d.com” into an IP address “192.168.0.1”, as shownin FIG. 22 . The browser may receive the IP address from the DNS server,and transmit the IP address to the reverse proxy 2220.

The reverse proxy 2220 may receive the data (e.g., an IP address) fromthe terminal device 130, and transmit the data to one or more servers(e.g., the server 144-1, the server 144-2, . . . , the server 144-n)according to a load balancing mechanism. In some embodiments, thereverse proxy 2220 may receive the data from the terminal device 130 viathe network 120 (e.g., a public network). The reverse proxy 2220 maytransmit the data to the one or more servers via the network 120 (e.g.,a local area network).

The server 144 (e.g., the server 144-1, the server 144-2, . . . , theserver 144-n) may be configured to perform one or more functionsdescribed in the present disclosure. For example, the server group 144may perform one or more operations in process 500 to process 700,process 1100 to process 1300, in response to a request for orthosisdesign, and generate processed data. The server 144 may transmit theprocessed data (e.g., orthosis design data) to the reverse proxy 2220.The reverse proxy 2220 may receive the processed data from the server144, and transmit the processed data to the terminal device 130. In someembodiments, the reverse proxy 2220 may receive the processed data fromthe server 144 via the network 120 (e.g., a local area network). Thereverse proxy 2220 may transmit the processed data to the terminaldevice 130 via the network 120 (e.g., a public network).

In some embodiments, by the using of the reverse proxy, an original IPaddress of the server 144 may not be revealed. An IP address of thereverse proxy 2220 may only be visible. The security of the orthosisdesign system 100 may be improved. In some embodiments, the reverseproxy 2220 may expand the server capacity in real time. Accordingly, theorthosis design system 100 may be deployed on a plurality of servers,which may improve the response speed and stability of the orthosisdesign system in a high concurrency environment. The difficulty ofdevelopment and maintenance of the orthosis design system 100 may bereduced.

FIG. 23 is a schematic diagram illustrating an exemplary user interfacefor displaying a patient list according to some embodiments of thepresent disclosure.

As illustrated, the patient list 2300 may include a personal informationsection 2301 for displaying personal information associated with asubject. The patient list 2300 may also include a data section 2302 forpresenting medical data associated with the subject. The patient list2300 may further include a function button section 2303 for presentingoperations (e.g., “back”, “load in”) associated with the personalinformation of the subject and the data of the subject.

FIG. 24 is a schematic diagram illustrating an exemplary user interfacefor displaying data associated with a subject in a bookmark modeaccording to some embodiments of the present disclosure.

As illustrated, a user interface 2400 may include a 3D data section fordisplaying a plurality of 3D data files associated with a subject. Theuser interface 2400 may include a 2D data section for displaying aplurality of 2D data files associated with the subject. In someembodiments, the plurality of 2D data files and the plurality of 3D datafiles may be displayed in a bookmark mode. For example, a file name, afile size, a data format, or the like, of a 2D data file or a 3D datafile may be displayed. The user interface 2400 may further include afunction button section 2403 for presenting operations (e.g., “back”,“load in”) associated with the data of the subject.

Having thus described the basic concepts, it may be rather apparent tothose skilled in the art after reading this detailed disclosure that theforegoing detailed disclosure is intended to be presented by way ofexample only and is not limiting. Various alterations, improvements, andmodifications may occur and are intended to those skilled in the art,though not expressly stated herein. These alterations, improvements, andmodifications are intended to be suggested by this disclosure and arewithin the spirit and scope of the exemplary embodiments of thisdisclosure.

Moreover, certain terminology has been used to describe embodiments ofthe present disclosure. For example, the terms “one embodiment,” “anembodiment,” and/or “some embodiments” mean that a particular feature,structure or characteristic described in connection with the embodimentis included in at least one embodiment of the present disclosure.Therefore, it is emphasized and should be appreciated that two or morereferences to “an embodiment” or “one embodiment” or “an alternativeembodiment” in various portions of this specification are notnecessarily all referring to the same embodiment. Furthermore, theparticular features, structures or characteristics may be combined assuitable in one or more embodiments of the present disclosure.

Further, it will be appreciated by one skilled in the art, aspects ofthe present disclosure may be illustrated and described herein in any ofa number of patentable classes or context including any new and usefulprocess, machine, manufacture, or composition of matter, or any new anduseful improvement thereof. Accordingly, aspects of the presentdisclosure may be implemented entirely hardware, entirely software(including firmware, resident software, micro-code, etc.) or combiningsoftware and hardware implementation that may all generally be referredto herein as a “unit,” “module,” or “system.” Furthermore, aspects ofthe present disclosure may take the form of a computer program productembodied in one or more computer-readable media having computer-readableprogram code embodied thereon.

A non-transitory computer-readable signal medium may include apropagated data signal with computer readable program code embodiedtherein, for example, in baseband or as part of a carrier wave. Such apropagated signal may take any of a variety of forms, includingelectro-magnetic, optical, or the like, or any suitable combinationthereof. A computer-readable signal medium may be any computer-readablemedium that is not a computer-readable storage medium and that maycommunicate, propagate, or transport a program for use by or inconnection with an instruction execution system, apparatus, or device.Program code embodied on a computer-readable signal medium may betransmitted using any appropriate medium, including wireless, wireline,optical fiber cable, RF, or the like, or any suitable combination of theforegoing.

Computer program code for carrying out operations for aspects of thepresent disclosure may be written in any combination of one or moreprogramming languages, including an object-oriented programming languagesuch as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB. NET,Python or the like, conventional procedural programming languages, suchas the “C” programming language, Visual Basic, Fortran 2003, Perl, COBOL2002, PHP, ABAP, dynamic programming languages such as Python, Ruby, andGroovy, or other programming languages. The program code may executeentirely on the user's computer, partly on the user's computer, as astand-alone software package, partly on the user's computer and partlyon a remote computer or entirely on the remote computer or server. Inthe latter scenario, the remote computer may be connected to the user'scomputer through any type of network, including a local area network(LAN) or a wide area network (WAN), or the connection may be made to anexternal computer (for example, through the Internet using an InternetService Provider) or in a cloud computing environment or offered as aservice such as a Software as a Service (SaaS).

Furthermore, the recited order of processing elements or sequences, orthe use of numbers, letters, or other designations therefore, is notintended to limit the claimed processes and methods to any order exceptas may be specified in the claims. Although the above disclosurediscusses through various examples what is currently considered to be avariety of useful embodiments of the disclosure, it is to be understoodthat such detail is solely for that purpose and that the appended claimsare not limited to the disclosed embodiments, but, on the contrary, areintended to cover modifications and equivalent arrangements that arewithin the spirit and scope of the disclosed embodiments. For example,although the implementation of various components described above may beembodied in a hardware device, it may also be implemented as asoftware-only solution, e.g., an installation on an existing server ormobile device.

Similarly, it should be appreciated that in the foregoing description ofembodiments of the present disclosure, various features are sometimesgrouped together in a single embodiment, figure, or description thereoffor the purpose of streamlining the disclosure aiding in theunderstanding of one or more of the various inventive embodiments. Thismethod of disclosure, however, is not to be interpreted as reflecting anintention that the claimed subject matter requires more features thanare expressly recited in each claim. Rather, inventive embodiments liein less than all features of a single foregoing disclosed embodiment.

In some embodiments, the numbers expressing quantities, properties, andso forth, used to describe and claim certain embodiments of theapplication are to be understood as being modified in some instances bythe term “about,” “approximate,” or “substantially.” For example,“about,” “approximate,” or “substantially” may indicate ±20% variationof the value it describes, unless otherwise stated. Accordingly, in someembodiments, the numerical parameters set forth in the writtendescription and attached claims are approximations that may varydepending upon the desired properties sought to be obtained by aparticular embodiment. In some embodiments, the numerical parametersshould be construed in light of the number of reported significantdigits and by applying ordinary rounding techniques. Notwithstandingthat the numerical ranges and parameters setting forth the broad scopeof some embodiments of the application are approximations, the numericalvalues set forth in the specific examples are reported as precisely aspracticable.

Each of the patents, patent applications, publications of patentapplications, and other material, such as articles, books,specifications, publications, documents, things, and/or the like,referenced herein is hereby incorporated herein by this reference in itsentirety for all purposes, excepting any prosecution file historyassociated with same, any of same that is inconsistent with or inconflict with the present document, or any of same that may have alimiting effect as to the broadest scope of the claims now or laterassociated with the present document. By way of example, should there beany inconsistency or conflict between the description, definition,and/or the use of a term associated with any of the incorporatedmaterial and that associated with the present document, the description,definition, and/or the use of the term in the present document shallprevail.

In closing, it is to be understood that the embodiments of theapplication disclosed herein are illustrative of the principles of theembodiments of the application. Other modifications that may be employedmay be within the scope of the application. Thus, by way of example, butnot of limitation, alternative configurations of the embodiments of theapplication may be utilized in accordance with the teachings herein.Accordingly, embodiments of the present application are not limited tothat precisely as shown and described.

We claim:
 1. A method for orthosis design, implemented on a computingdevice having one or more processors and one or more storage devices,the method comprising: obtaining a three-dimensional (3D) modelassociated with a subject; obtaining one or more reference imagesassociated with the subject; determining, based on the 3D model and theone or more reference images, orthosis design data for the subject;simulating, based on the orthosis design data, force data generated by a3D orthosis model on the 3D model of the subject after wearing the 3Dorthosis model; and adjusting the orthosis design data based on theforce data and an applied force of the 3D orthosis model on the subject.2. The method of claim 1, wherein the simulating, based on the orthosisdesign data, force data generated by a 3D orthosis model on the 3D modelof the subject after wearing the 3D orthosis model comprises: generatingthe 3D orthosis model based on the orthosis design data; simulating acurvature degree of at least one mesh of the 3D model of the subjectafter wearing the 3D orthosis model; and determining the force databased on the curvature degree of the at least one mesh of the 3D modelof the subject.
 3. The method of claim 1, wherein the applied force ofthe 3D orthosis model includes a force of a pressure region of anorthosis applied on different regions of the subject during correctingof the subject.
 4. The method of claim 1, wherein the adjusting theorthosis design data based on the force data and an applied force of the3D orthosis model on the subject comprises: adjusting the orthosisdesign data based on force magnitudes and force directions of aplurality of meshes of the 3D model of the subject and the applied forceof the 3D orthosis model.
 5. The method of claim 1, wherein thedetermining, based on the 3D model and the one or more reference images,orthosis design data for the subject comprises: superimposing thereference image on the 3D model; and determining the orthosis designdata by modifying the 3D model based on a superimposing result.
 6. Themethod of claim 5, wherein the superimposing the reference image on the3D model comprises: determining one or more first reference points inthe reference image; determining one or more second reference pointscorresponding to the one or more first reference points in the 3D model;and superimposing the reference image on the 3D model by aligning theone or more first reference points in the reference image and the one ormore corresponding second reference points in the 3D model.
 7. Themethod of claim 5, wherein the determining the orthosis design data bymodifying the 3D model based on a superimposing result comprises:performing a mesh splitting operation on the 3D model.
 8. The method ofclaim 7, wherein the performing a mesh splitting operation on the 3Dmodel comprises: determining a spline curve associated with the 3Dmodel; for each point of a plurality of points on the spline curve,determining a center point corresponding to the point; determining alink line connecting the center point and the corresponding point;determining a plurality of boundary points along a direction of the linkline; generating a split surface based on boundary points correspondingto the plurality of points on the spline curve; splitting the 3D modelbased on the split surface.
 9. The method of claim 1, wherein theobtaining one or more reference images associated with the subjectcomprises: obtaining identification information of the subject; andobtaining the one or more reference images by inputting theidentification information of the subject into an image generationmodel, wherein the image generation model is trained based on historicalimage data.
 10. The method of claim 1, further comprising: determininghousing design data associated with a housing of an orthosis byperforming a thickness-adjustment operation on the orthosis design data,wherein the housing design data represents a size of the orthosis.
 11. Asystem for orthosis design, comprising: at least one storage mediumincluding a set of instructions; and at least one processor incommunication with the at least one storage medium, wherein whenexecuting the set of instructions, the at least one processor isdirected to cause the system to perform operations comprising: obtaininga three-dimensional (3D) model associated with a subject; obtaining oneor more reference images associated with the subject; determining, basedon the 3D model and the one or more reference images, orthosis designdata for the subject; simulating, based on the orthosis design data,force data generated by a 3D orthosis model on the 3D model of thesubject after wearing the 3D orthosis model; and adjusting the orthosisdesign data based on the force data and an applied force of the 3Dorthosis model on the subject.
 12. The system of claim 11, wherein thesimulating, based on the orthosis design data, force data generated by a3D orthosis model on the 3D model of the subject after wearing the 3Dorthosis model comprises: generating the 3D orthosis model based on theorthosis design data; simulating a curvature degree of at least one meshof the 3D model of the subject after wearing the 3D orthosis model; anddetermining the force data based on the curvature degree of the at leastone mesh of the 3D model of the subject.
 13. The system of claim 11,wherein the applied force of the 3D orthosis model includes a force of apressure region of an orthosis applied on different regions of thesubject during correcting of the subject.
 14. The system of claim 11,wherein the adjusting the orthosis design data based on the force dataand an applied force of the 3D orthosis model on the subject comprises:adjusting the orthosis design data based on force magnitudes and forcedirections of a plurality of meshes of the 3D model of the subject andthe applied force of the 3D orthosis model.
 15. The system of claim 11,wherein the determining, based on the 3D model and the one or morereference images, orthosis design data for the subject comprises:superimposing the reference image on the 3D model; and determining theorthosis design data by modifying the 3D model based on a superimposingresult.
 16. The system of claim 15, wherein the superimposing thereference image on the 3D model comprises: determining one or more firstreference points in the reference image; determining one or more secondreference points corresponding to the one or more first reference pointsin the 3D model; and superimposing the reference image on the 3D modelby aligning the one or more first reference points in the referenceimage and the one or more corresponding second reference points in the3D model.
 17. The system of claim 15, wherein the determining theorthosis design data by modifying the 3D model based on a superimposingresult comprises: performing a mesh splitting operation on the 3D model.18. The system of claim 17, wherein the performing a mesh splittingoperation on the 3D model comprises: determining a spline curveassociated with the 3D model; for each point of a plurality of points onthe spline curve, determining a center point corresponding to the point;determining a link line connecting the center point and thecorresponding point; determining a plurality of boundary points along adirection of the link line; generating a split surface based on boundarypoints corresponding to the plurality of points on the spline curve;splitting the 3D model based on the split surface.
 19. The system ofclaim 11, wherein the obtaining one or more reference images associatedwith the subject comprises: obtaining identification information of thesubject; and obtaining the one or more reference images by inputting theidentification information of the subject into an image generationmodel, wherein the image generation model is trained based on historicalimage data.
 20. A non-transitory computer readable medium, comprisingexecutable instructions that, when executed by at least one processor,direct the at least one processor to perform a method for orthosisdesign, the method comprising: obtaining a three-dimensional (3D) modelassociated with a subject; obtaining one or more reference imagesassociated with the subject; determining, based on the 3D model and theone or more reference images, orthosis design data for the subject;simulating, based on the orthosis design data, force data generated by a3D orthosis model on the 3D model of the subject after wearing the 3Dorthosis model; and adjusting the orthosis design data based on theforce data and an applied force of the 3D orthosis model on the subject.